model,img_size,top1,top1_err,top5,top5_err,param_count,crop_pct,interpolation,top1_diff,top5_diff,rank_diff
eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,448,82.770,17.230,96.450,3.550,305.08,1.000,bicubic,-7.186,-2.564,+1
eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,448,82.710,17.290,96.550,3.450,305.08,1.000,bicubic,-7.346,-2.504,-1
eva02_large_patch14_448.mim_m38m_ft_in1k,448,82.400,17.600,96.200,3.800,305.08,1.000,bicubic,-7.150,-2.724,+3
eva02_large_patch14_448.mim_in22k_ft_in1k,448,82.220,17.780,96.320,3.680,305.08,1.000,bicubic,-7.414,-2.634,0
eva_giant_patch14_336.clip_ft_in1k,336,82.180,17.820,96.250,3.750,"1,013.01",1.000,bicubic,-7.282,-2.578,+2
vit_so400m_patch14_siglip_378.webli_ft_in1k,378,81.870,18.130,96.230,3.770,429.38,1.000,bicubic,-7.540,-2.624,+2
eva_giant_patch14_560.m30m_ft_in22k_in1k,560,81.800,18.200,96.340,3.660,"1,014.45",1.000,bicubic,-7.990,-2.650,-4
eva_giant_patch14_336.m30m_ft_in22k_in1k,336,81.690,18.310,96.180,3.820,"1,013.01",1.000,bicubic,-7.876,-2.772,-3
eva_giant_patch14_224.clip_ft_in1k,224,81.680,18.320,96.090,3.910,"1,012.56",0.900,bicubic,-7.216,-2.582,+2
vit_so400m_patch14_siglip_gap_378.webli_ft_in1k,378,81.620,18.380,96.270,3.730,414.14,1.000,bicubic,-7.436,-2.482,0
eva_large_patch14_336.in22k_ft_in1k,336,81.070,18.930,95.810,4.190,304.53,1.000,bicubic,-7.610,-2.904,+2
beit_large_patch16_512.in22k_ft_in22k_in1k,512,80.820,19.180,95.860,4.140,305.67,1.000,bicubic,-7.756,-2.796,+7
eva_large_patch14_336.in22k_ft_in22k_in1k,336,80.780,19.220,95.990,4.010,304.53,1.000,bicubic,-8.458,-2.858,-4
convnext_xxlarge.clip_laion2b_soup_ft_in1k,256,80.610,19.390,95.900,4.100,846.47,1.000,bicubic,-8.012,-2.818,+3
tf_efficientnet_l2.ns_jft_in1k_475,475,80.520,19.480,95.630,4.370,480.31,0.936,bicubic,-7.726,-2.924,+14
regnety_1280.swag_ft_in1k,384,80.500,19.500,96.110,3.890,644.81,1.000,bicubic,-7.728,-2.574,+15
vit_large_patch14_clip_336.openai_ft_in12k_in1k,336,80.480,19.520,95.520,4.480,304.53,1.000,bicubic,-7.780,-3.004,+11
beitv2_large_patch16_224.in1k_ft_in22k_in1k,224,80.410,19.590,95.210,4.790,304.43,0.950,bicubic,-7.996,-3.392,+3
beit_large_patch16_384.in22k_ft_in22k_in1k,384,80.270,19.730,95.600,4.400,305.00,1.000,bicubic,-8.110,-3.004,+3
caformer_b36.sail_in22k_ft_in1k_384,384,80.190,19.810,95.470,4.530,98.75,1.000,bicubic,-7.868,-3.120,+16
eva_large_patch14_196.in22k_ft_in22k_in1k,196,80.190,19.810,95.420,4.580,304.14,1.000,bicubic,-8.400,-3.242,-2
eva_large_patch14_196.in22k_ft_in1k,196,80.160,19.840,95.380,4.620,304.14,1.000,bicubic,-7.792,-3.110,+18
tf_efficientnet_l2.ns_jft_in1k,800,80.130,19.870,95.850,4.150,480.31,0.960,bicubic,-8.230,-2.806,0
eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,448,80.050,19.950,95.520,4.480,87.12,1.000,bicubic,-8.628,-3.206,-10
maxvit_large_tf_512.in21k_ft_in1k,512,80.040,19.960,95.160,4.840,212.33,1.000,bicubic,-8.196,-3.448,+5
maxvit_base_tf_512.in21k_ft_in1k,512,79.960,20.040,95.390,4.610,119.88,1.000,bicubic,-8.254,-3.148,+6
maxvit_xlarge_tf_512.in21k_ft_in1k,512,79.820,20.180,95.410,4.590,475.77,1.000,bicubic,-8.720,-3.240,-7
convnextv2_huge.fcmae_ft_in22k_in1k_384,384,79.730,20.270,95.580,4.420,660.29,1.000,bicubic,-8.936,-3.154,-13
vit_large_patch14_clip_224.openai_ft_in1k,224,79.670,20.330,95.000,5.000,304.20,1.000,bicubic,-8.188,-3.430,+17
maxvit_xlarge_tf_384.in21k_ft_in1k,384,79.620,20.380,95.060,4.940,475.32,1.000,bicubic,-8.682,-3.478,-5
convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,384,79.610,20.390,95.260,4.740,200.13,1.000,bicubic,-8.724,-3.314,-7
convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,384,79.580,20.420,95.250,4.750,200.13,1.000,bicubic,-8.310,-3.198,+12
maxvit_large_tf_384.in21k_ft_in1k,384,79.550,20.450,95.050,4.950,212.03,1.000,bicubic,-8.444,-3.526,+5
vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,336,79.520,20.480,94.980,5.020,632.46,1.000,bicubic,-9.114,-3.688,-18
eva02_base_patch14_448.mim_in22k_ft_in1k,448,79.500,20.500,95.180,4.820,87.12,1.000,bicubic,-8.762,-3.390,-9
beit3_large_patch16_224.indomain_in22k_ft_in1k,224,79.500,20.500,95.010,4.990,304.57,1.000,bicubic,-8.034,-3.354,+19
convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,320,79.500,20.500,94.990,5.010,200.13,1.000,bicubic,-8.470,-3.484,+2
vit_huge_patch14_clip_224.laion2b_ft_in1k,224,79.500,20.500,94.910,5.090,632.05,1.000,bicubic,-8.112,-3.316,+14
convnextv2_huge.fcmae_ft_in22k_in1k_512,512,79.420,20.580,95.690,4.310,660.29,1.000,bicubic,-9.440,-3.050,-27
beit3_large_patch16_224.in22k_ft_in1k,224,79.400,20.600,95.010,4.990,304.57,1.000,bicubic,-8.228,-3.324,+11
beit_large_patch16_224.in22k_ft_in22k_in1k,224,79.360,20.640,94.930,5.070,304.43,0.900,bicubic,-8.126,-3.388,+16
maxvit_base_tf_384.in21k_ft_in1k,384,79.330,20.670,95.070,4.930,119.65,1.000,bicubic,-8.600,-3.476,0
vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,224,79.270,20.730,95.090,4.910,632.05,1.000,bicubic,-9.018,-3.460,-17
convformer_b36.sail_in22k_ft_in1k_384,384,79.260,20.740,94.870,5.130,99.88,1.000,bicubic,-8.346,-3.554,+9
vit_large_patch14_clip_336.laion2b_ft_in1k,336,79.250,20.750,95.010,4.990,304.53,1.000,bicubic,-8.620,-3.350,0
deit3_large_patch16_384.fb_in22k_ft_in1k,384,79.220,20.780,95.060,4.940,304.76,1.000,bicubic,-8.516,-3.448,+3
deit3_huge_patch14_224.fb_in22k_ft_in1k,224,79.210,20.790,94.880,5.120,632.13,1.000,bicubic,-7.970,-3.384,+26
maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,384,79.210,20.790,94.680,5.320,116.14,1.000,bicubic,-8.600,-3.686,0
vit_so150m2_patch16_reg1_gap_448.sbb_e200_in12k_ft_in1k,448,79.180,20.820,95.190,4.810,136.50,1.000,bicubic,-8.894,-3.368,-13
vit_large_patch14_clip_224.openai_ft_in12k_in1k,224,79.160,20.840,94.910,5.090,304.20,1.000,bicubic,-9.002,-3.628,-15
caformer_m36.sail_in22k_ft_in1k_384,384,79.110,20.890,94.780,5.220,56.20,1.000,bicubic,-8.360,-3.528,+9
vit_so150m2_patch16_reg1_gap_384.sbb_e200_in12k_ft_in1k,384,79.070,20.930,95.170,4.830,136.33,1.000,bicubic,-8.862,-3.330,-11
caformer_b36.sail_in22k_ft_in1k,224,78.920,21.080,94.680,5.320,98.75,1.000,bicubic,-8.530,-3.656,+9
vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,336,78.830,21.170,94.860,5.140,304.53,1.000,bicubic,-9.360,-3.706,-21
convnext_xlarge.fb_in22k_ft_in1k_384,384,78.810,21.190,95.110,4.890,350.20,1.000,bicubic,-8.954,-3.442,-7
convnext_large.fb_in22k_ft_in1k_384,384,78.700,21.300,94.870,5.130,197.77,1.000,bicubic,-8.756,-3.510,+5
hiera_huge_224.mae_in1k_ft_in1k,224,78.690,21.310,93.850,6.150,672.78,0.900,bicubic,-8.150,-4.158,+36
convnext_large_mlp.clip_laion2b_augreg_ft_in1k,256,78.670,21.330,94.530,5.470,200.13,1.000,bicubic,-8.674,-3.692,+10
deit3_large_patch16_224.fb_in22k_ft_in1k,224,78.640,21.360,94.740,5.260,304.37,1.000,bicubic,-8.350,-3.506,+25
beitv2_large_patch16_224.in1k_ft_in1k,224,78.600,21.400,94.190,5.810,304.43,0.950,bicubic,-8.814,-4.026,+4
vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,224,78.510,21.490,94.680,5.320,304.20,1.000,bicubic,-9.390,-3.728,-18
coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,384,78.490,21.510,94.340,5.660,73.88,1.000,bicubic,-8.898,-3.972,+3
vit_so150m2_patch16_reg1_gap_256.sbb_e200_in12k_ft_in1k,256,78.480,21.520,94.510,5.490,136.06,1.000,bicubic,-8.838,-3.818,+6
vit_large_patch14_clip_224.laion2b_ft_in1k,224,78.410,21.590,94.590,5.410,304.20,1.000,bicubic,-8.878,-3.646,+7
swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,384,78.370,21.630,94.720,5.280,87.92,1.000,bicubic,-8.772,-3.508,+11
caformer_s36.sail_in22k_ft_in1k_384,384,78.370,21.630,94.280,5.720,39.30,1.000,bicubic,-8.490,-3.940,+26
swin_large_patch4_window12_384.ms_in22k_ft_in1k,384,78.340,21.660,94.360,5.640,196.74,1.000,bicubic,-8.802,-3.868,+9
swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,384,78.310,21.690,94.640,5.360,196.74,1.000,bicubic,-9.164,-3.624,-9
convnext_xlarge.fb_in22k_ft_in1k,288,78.280,21.720,94.530,5.470,350.20,1.000,bicubic,-9.098,-3.800,-3
regnety_320.swag_ft_in1k,384,78.250,21.750,95.130,4.870,145.05,1.000,bicubic,-8.580,-3.232,+24
convformer_m36.sail_in22k_ft_in1k_384,384,78.240,21.760,94.310,5.690,57.05,1.000,bicubic,-8.628,-3.812,+19
vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k,384,78.190,21.810,94.230,5.770,64.27,1.000,bicubic,-9.248,-4.026,-9
vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k,384,78.180,21.820,94.780,5.220,134.42,1.000,bicubic,-9.190,-3.534,-6
mambaout_base_plus_rw.sw_e150_r384_in12k_ft_in1k,384,78.150,21.850,94.690,5.310,101.66,1.000,bicubic,-9.358,-3.738,-20
maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,384,78.150,21.850,94.410,5.590,116.09,1.000,bicubic,-9.330,-3.966,-16
convformer_b36.sail_in22k_ft_in1k,224,78.150,21.850,94.190,5.810,99.88,1.000,bicubic,-8.842,-3.974,+7
volo_d5_512.sail_in1k,512,78.120,21.880,94.220,5.780,296.09,1.150,bicubic,-8.948,-3.750,+2
convnext_large.fb_in22k_ft_in1k,288,78.070,21.930,94.380,5.620,197.77,1.000,bicubic,-8.942,-3.832,+3
convnextv2_huge.fcmae_ft_in1k,288,78.050,21.950,94.040,5.960,660.29,1.000,bicubic,-8.568,-3.970,+29
deit3_base_patch16_384.fb_in22k_ft_in1k,384,77.980,22.020,94.200,5.800,86.88,1.000,bicubic,-8.762,-3.910,+21
tf_efficientnet_b7.ns_jft_in1k,600,77.940,22.060,94.330,5.670,66.35,0.949,bicubic,-8.910,-3.750,+11
maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,224,77.930,22.070,94.040,5.960,116.14,0.950,bicubic,-8.978,-3.964,+7
volo_d5_448.sail_in1k,448,77.910,22.090,94.140,5.860,295.91,1.150,bicubic,-9.064,-3.788,+1
swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,256,77.910,22.090,93.990,6.010,196.74,0.900,bicubic,-9.024,-4.116,+4
convnext_xlarge.fb_in22k_ft_in1k,224,77.890,22.110,94.000,6.000,350.20,0.875,bicubic,-9.080,-4.204,+1
convnextv2_large.fcmae_ft_in22k_in1k_384,384,77.880,22.120,94.600,5.400,197.96,1.000,bicubic,-10.300,-3.920,-52
caformer_m36.sail_in22k_ft_in1k,224,77.860,22.140,93.960,6.040,56.20,1.000,bicubic,-8.746,-4.078,+24
beit_base_patch16_384.in22k_ft_in22k_in1k,384,77.790,22.210,94.320,5.680,86.74,1.000,bicubic,-9.024,-3.816,+7
vit_large_patch16_384.augreg_in21k_ft_in1k,384,77.790,22.210,94.310,5.690,304.72,1.000,bicubic,-9.306,-3.992,-10
convnext_base.fb_in22k_ft_in1k_384,384,77.790,22.210,94.170,5.830,88.59,1.000,bicubic,-9.036,-4.074,+5
nextvit_base.bd_ssld_6m_in1k_384,384,77.770,22.230,94.170,5.830,44.82,1.000,bicubic,-8.602,-3.870,+40
volo_d4_448.sail_in1k,448,77.750,22.250,93.920,6.080,193.41,1.150,bicubic,-9.038,-3.960,+6
nextvit_large.bd_ssld_6m_in1k_384,384,77.730,22.270,94.360,5.640,57.87,1.000,bicubic,-8.814,-3.766,+21
mambaout_base_plus_rw.sw_e150_in12k_ft_in1k,224,77.670,22.330,94.020,5.980,101.66,1.000,bicubic,-8.972,-4.130,+10
seresnextaa201d_32x8d.sw_in12k_ft_in1k_384,384,77.650,22.350,94.070,5.930,149.39,1.000,bicubic,-9.654,-4.264,-25
convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,384,77.630,22.370,94.330,5.670,88.59,1.000,bicubic,-9.514,-3.898,-21
mambaout_base_plus_rw.sw_e150_in12k_ft_in1k,288,77.610,22.390,94.250,5.750,101.66,1.000,bicubic,-9.306,-3.988,-10
tf_efficientnetv2_xl.in21k_ft_in1k,512,77.610,22.390,93.790,6.210,208.12,1.000,bicubic,-9.144,-4.224,+2
seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,320,77.590,22.410,94.050,5.950,93.59,1.000,bicubic,-9.132,-4.134,+3
regnety_1280.swag_lc_in1k,224,77.560,22.440,94.460,5.540,644.81,0.965,bicubic,-8.404,-3.392,+69
convnext_large.fb_in22k_ft_in1k,224,77.560,22.440,93.970,6.030,197.77,0.875,bicubic,-9.052,-4.066,+9
convnextv2_base.fcmae_ft_in22k_in1k_384,384,77.510,22.490,94.350,5.650,88.72,1.000,bicubic,-10.128,-4.066,-52
vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k_ft_in1k,256,77.500,22.500,93.980,6.020,134.13,0.950,bicubic,-9.220,-4.044,0
caformer_b36.sail_in1k_384,384,77.480,22.520,93.540,6.460,98.75,1.000,bicubic,-8.920,-4.284,+22
convformer_m36.sail_in22k_ft_in1k,224,77.470,22.530,93.810,6.190,57.05,1.000,bicubic,-8.682,-4.042,+46
maxvit_base_tf_512.in1k,512,77.460,22.540,93.900,6.100,119.88,1.000,bicubic,-9.138,-4.024,+6
seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,288,77.460,22.540,93.820,6.180,93.59,0.950,bicubic,-9.070,-4.274,+10
convnext_base.clip_laiona_augreg_ft_in1k_384,384,77.450,22.550,93.920,6.080,88.59,1.000,bicubic,-9.040,-4.040,+13
coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,224,77.410,22.590,93.540,6.460,73.88,0.950,bicubic,-9.128,-4.354,+6
efficientvit_l3.r384_in1k,384,77.410,22.590,93.360,6.640,246.04,1.000,bicubic,-8.986,-4.280,+17
swin_base_patch4_window12_384.ms_in22k_ft_in1k,384,77.380,22.620,94.320,5.680,87.90,1.000,bicubic,-9.062,-3.748,+12
tf_efficientnetv2_l.in21k_ft_in1k,480,77.380,22.620,94.220,5.780,118.52,1.000,bicubic,-9.422,-3.904,-14
vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k,384,77.380,22.620,93.690,6.310,60.60,1.000,bicubic,-9.238,-4.278,-5
seresnextaa101d_32x8d.sw_in12k_ft_in1k,288,77.330,22.670,93.810,6.190,93.59,1.000,bicubic,-9.194,-4.224,+4
hgnetv2_b6.ssld_stage1_in22k_in1k,288,77.320,22.680,94.230,5.770,75.26,1.000,bicubic,-8.980,-3.712,+20
hgnetv2_b6.ssld_stage2_ft_in1k,288,77.310,22.690,94.250,5.750,75.26,1.000,bicubic,-9.070,-3.692,+12
convnextv2_large.fcmae_ft_in22k_in1k,288,77.280,22.720,94.230,5.770,197.96,1.000,bicubic,-10.214,-4.130,-61
beitv2_base_patch16_224.in1k_ft_in22k_in1k,224,77.270,22.730,94.030,5.970,86.53,0.900,bicubic,-9.224,-4.026,+1
swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,256,77.270,22.730,94.020,5.980,87.92,0.900,bicubic,-9.000,-3.886,+19
efficientvit_l3.r320_in1k,320,77.270,22.730,93.180,6.820,246.04,1.000,bicubic,-8.960,-4.296,+21
caformer_m36.sail_in1k_384,384,77.250,22.750,93.630,6.370,56.20,1.000,bicubic,-8.914,-4.182,+27
convnextv2_huge.fcmae_ft_in1k,224,77.250,22.750,93.580,6.420,660.29,0.875,bicubic,-9.010,-4.172,+17
maxvit_large_tf_512.in1k,512,77.230,22.770,93.700,6.300,212.33,1.000,bicubic,-9.304,-4.184,-8
vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,384,77.230,22.770,93.690,6.310,86.86,1.000,bicubic,-9.980,-4.342,-50
convnextv2_large.fcmae_ft_in22k_in1k,224,77.220,22.780,93.960,6.040,197.96,0.875,bicubic,-10.046,-4.280,-53
volo_d3_448.sail_in1k,448,77.190,22.810,94.040,5.960,86.63,1.000,bicubic,-9.324,-3.670,-7
swin_large_patch4_window7_224.ms_in22k_ft_in1k,224,77.190,22.810,93.770,6.230,196.53,0.900,bicubic,-9.130,-4.120,+6
vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k,256,77.180,22.820,93.760,6.240,64.11,0.950,bicubic,-9.428,-4.174,-18
regnety_160.swag_ft_in1k,384,77.170,22.830,94.570,5.430,83.59,1.000,bicubic,-8.850,-3.476,+34
vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k,256,77.170,22.830,93.600,6.400,64.11,0.950,bicubic,-9.028,-4.288,+16
tf_efficientnet_b6.ns_jft_in1k,528,77.160,22.840,93.840,6.160,43.04,0.942,bicubic,-9.316,-4.024,-8
convnextv2_base.fcmae_ft_in22k_in1k,288,77.150,22.850,94.080,5.920,88.72,1.000,bicubic,-9.844,-4.088,-50
coatnet_2_rw_224.sw_in12k_ft_in1k,224,77.100,22.900,93.610,6.390,73.87,0.950,bicubic,-9.482,-4.286,-20
vit_base_patch16_clip_384.laion2b_ft_in1k,384,77.080,22.920,93.870,6.130,86.86,1.000,bicubic,-9.558,-4.138,-28
convnextv2_base.fcmae_ft_in22k_in1k,224,77.030,22.970,93.590,6.410,88.72,0.875,bicubic,-9.722,-4.430,-35
vit_base_patch16_clip_384.openai_ft_in12k_in1k,384,77.000,23.000,93.760,6.240,86.86,0.950,bicubic,-10.030,-4.426,-56
hgnetv2_b6.ssld_stage2_ft_in1k,224,76.980,23.020,93.890,6.110,75.26,0.965,bicubic,-9.226,-3.920,+6
convnext_base.fb_in22k_ft_in1k,288,76.960,23.040,93.960,6.040,88.59,1.000,bicubic,-9.342,-4.128,-4
vit_base_patch16_clip_384.openai_ft_in1k,384,76.930,23.070,93.680,6.320,86.86,1.000,bicubic,-9.280,-4.214,+3
vit_large_r50_s32_384.augreg_in21k_ft_in1k,384,76.890,23.110,93.680,6.320,329.09,1.000,bicubic,-9.298,-4.248,+5
maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,224,76.890,23.110,93.560,6.440,116.09,0.950,bicubic,-9.750,-4.454,-35
hiera_large_224.mae_in1k_ft_in1k,224,76.880,23.120,93.190,6.810,213.74,0.900,bicubic,-9.166,-4.456,+19
maxvit_large_tf_384.in1k,384,76.840,23.160,93.420,6.580,212.03,1.000,bicubic,-9.402,-4.264,-4
cait_m48_448.fb_dist_in1k,448,76.840,23.160,93.350,6.650,356.46,1.000,bicubic,-9.640,-4.398,-21
vit_base_patch8_224.augreg2_in21k_ft_in1k,224,76.830,23.170,93.640,6.360,86.58,0.900,bicubic,-9.422,-4.200,-6
convformer_s36.sail_in22k_ft_in1k_384,384,76.810,23.190,94.110,5.890,40.01,1.000,bicubic,-9.564,-3.870,-16
hgnetv2_b6.ssld_stage1_in22k_in1k,224,76.780,23.220,93.860,6.140,75.26,0.965,bicubic,-9.272,-3.946,+13
hgnet_base.ssld_in1k,288,76.780,23.220,93.500,6.500,71.58,1.000,bicubic,-8.708,-4.130,+66
tf_efficientnetv2_m.in21k_ft_in1k,480,76.760,23.240,93.590,6.410,54.14,1.000,bicubic,-9.254,-4.366,+16
regnety_160.sw_in12k_ft_in1k,288,76.750,23.250,93.760,6.240,83.59,1.000,bicubic,-9.278,-4.076,+12
xcit_large_24_p8_384.fb_dist_in1k,384,76.750,23.250,93.100,6.900,188.93,1.000,bicubic,-9.274,-4.590,+12
caformer_s36.sail_in22k_ft_in1k,224,76.740,23.260,93.560,6.440,39.30,1.000,bicubic,-9.040,-4.272,+34
deit3_large_patch16_384.fb_in1k,384,76.730,23.270,93.340,6.660,304.76,1.000,bicubic,-9.090,-4.262,+29
resnext101_32x32d.fb_wsl_ig1b_ft_in1k,224,76.700,23.300,93.200,6.800,468.53,0.875,bilinear,-8.390,-4.242,+107
tf_efficientnet_b5.ns_jft_in1k,456,76.670,23.330,93.500,6.500,30.39,0.934,bicubic,-9.426,-4.244,0
convnext_base.clip_laion2b_augreg_ft_in12k_in1k,256,76.660,23.340,94.010,5.990,88.59,1.000,bicubic,-9.718,-3.966,-27
convnextv2_large.fcmae_ft_in1k,288,76.650,23.350,93.600,6.400,197.96,1.000,bicubic,-9.482,-4.220,-5
efficientvit_l2.r384_in1k,384,76.630,23.370,93.000,7.000,63.71,1.000,bicubic,-9.354,-4.510,+10
volo_d5_224.sail_in1k,224,76.600,23.400,93.360,6.640,295.46,0.960,bicubic,-9.476,-4.214,-2
maxvit_base_tf_384.in1k,384,76.580,23.420,93.480,6.520,119.65,1.000,bicubic,-9.710,-4.322,-24
regnety_160.lion_in12k_ft_in1k,288,76.570,23.430,93.750,6.250,83.59,1.000,bicubic,-9.434,-4.084,+6
tiny_vit_21m_512.dist_in22k_ft_in1k,512,76.560,23.440,93.460,6.540,21.27,1.000,bicubic,-9.884,-4.424,-38
deit3_base_patch16_224.fb_in22k_ft_in1k,224,76.530,23.470,93.590,6.410,86.59,1.000,bicubic,-9.198,-4.156,+30
rdnet_large.nv_in1k_ft_in1k_384,384,76.530,23.470,93.080,6.920,186.27,1.000,bicubic,-9.314,-4.600,+15
maxvit_small_tf_512.in1k,512,76.520,23.480,93.210,6.790,69.13,1.000,bicubic,-9.582,-4.478,-12
vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k,256,76.490,23.510,92.890,7.110,60.40,0.950,bicubic,-9.244,-4.720,+27
beitv2_base_patch16_224.in1k_ft_in1k,224,76.470,23.530,92.900,7.100,86.53,0.900,bicubic,-9.126,-4.614,+36
nextvit_small.bd_ssld_6m_in1k_384,384,76.450,23.550,93.870,6.130,31.76,1.000,bicubic,-9.516,-4.034,-1
seresnextaa101d_32x8d.sw_in12k_ft_in1k,224,76.450,23.550,93.410,6.590,93.59,0.875,bicubic,-9.506,-4.414,+2
efficientvit_l3.r256_in1k,256,76.450,23.550,92.620,7.380,246.04,1.000,bicubic,-9.502,-4.720,+5
convnext_base.clip_laion2b_augreg_ft_in1k,256,76.420,23.580,93.580,6.420,88.59,1.000,bicubic,-9.764,-4.094,-23
convformer_m36.sail_in1k_384,384,76.410,23.590,93.100,6.900,57.05,1.000,bicubic,-9.170,-4.472,+33
caformer_s36.sail_in1k_384,384,76.380,23.620,93.420,6.580,39.30,1.000,bicubic,-9.382,-4.246,+17
cait_m36_384.fb_dist_in1k,384,76.370,23.630,93.040,6.960,271.22,1.000,bicubic,-9.690,-4.692,-16
convnext_small.in12k_ft_in1k_384,384,76.350,23.650,93.360,6.640,50.22,1.000,bicubic,-9.836,-4.560,-28
xcit_medium_24_p8_384.fb_dist_in1k,384,76.300,23.700,92.990,7.010,84.32,1.000,bicubic,-9.542,-4.612,+3
tiny_vit_21m_384.dist_in22k_ft_in1k,384,76.290,23.710,93.020,6.980,21.23,1.000,bicubic,-9.798,-4.696,-22
efficientvit_l2.r288_in1k,288,76.290,23.710,92.810,7.190,63.71,1.000,bicubic,-9.324,-4.554,+23
nextvit_large.bd_ssld_6m_in1k,224,76.270,23.730,93.340,6.660,57.87,0.950,bicubic,-9.244,-4.148,+31
beit3_base_patch16_224.indomain_in22k_ft_in1k,224,76.250,23.750,93.020,6.980,86.66,1.000,bicubic,-9.204,-4.600,+37
volo_d2_384.sail_in1k,384,76.240,23.760,93.170,6.830,58.87,1.000,bicubic,-9.814,-4.412,-22
convformer_b36.sail_in1k_384,384,76.240,23.760,92.750,7.250,99.88,1.000,bicubic,-9.530,-4.772,+7
hgnetv2_b5.ssld_stage1_in22k_in1k,288,76.210,23.790,93.360,6.640,39.57,1.000,bicubic,-8.720,-3.930,+101
vit_large_patch16_224.augreg_in21k_ft_in1k,224,76.180,23.820,93.480,6.520,304.33,0.900,bicubic,-9.676,-4.342,-9
maxvit_tiny_tf_512.in1k,512,76.180,23.820,93.060,6.940,31.05,1.000,bicubic,-9.478,-4.532,+14
convnext_small.fb_in22k_ft_in1k_384,384,76.170,23.830,93.590,6.410,50.22,1.000,bicubic,-9.582,-4.288,+6
vit_base_patch16_384.augreg_in21k_ft_in1k,384,76.160,23.840,93.610,6.390,86.86,1.000,bicubic,-9.850,-4.388,-24
convnext_base.fb_in22k_ft_in1k,224,76.160,23.840,93.350,6.650,88.59,0.875,bicubic,-9.654,-4.506,-4
tf_efficientnetv2_l.in21k_ft_in1k,384,76.160,23.840,93.350,6.650,118.52,1.000,bicubic,-9.686,-4.416,-12
dm_nfnet_f6.dm_in1k,576,76.160,23.840,93.170,6.830,438.36,0.956,bicubic,-10.204,-4.730,-56
regnety_160.lion_in12k_ft_in1k,224,76.130,23.870,93.300,6.700,83.59,0.950,bicubic,-9.472,-4.368,+10
volo_d4_224.sail_in1k,224,76.130,23.870,93.080,6.920,192.96,0.960,bicubic,-9.738,-4.384,-17
convnextv2_large.fcmae_ft_in1k,224,76.090,23.910,93.140,6.860,197.96,0.875,bicubic,-9.672,-4.434,-3
vit_base_patch16_clip_224.openai_ft_in1k,224,76.090,23.910,93.000,7.000,86.57,0.900,bicubic,-9.192,-4.448,+39
vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,224,76.090,23.910,92.930,7.070,86.57,0.950,bicubic,-10.114,-4.832,-49
caformer_s18.sail_in22k_ft_in1k_384,384,76.070,23.930,93.660,6.340,26.34,1.000,bicubic,-9.372,-4.058,+22
xcit_large_24_p8_224.fb_dist_in1k,224,76.060,23.940,92.710,7.290,188.93,1.000,bicubic,-9.336,-4.708,+29
regnety_160.sw_in12k_ft_in1k,224,76.050,23.950,93.050,6.950,83.59,0.950,bicubic,-9.546,-4.618,+4
maxvit_small_tf_384.in1k,384,76.050,23.950,92.570,7.430,69.02,1.000,bicubic,-9.484,-4.896,+9
flexivit_large.1200ep_in1k,240,76.040,23.960,93.010,6.990,304.36,0.950,bicubic,-9.606,-4.536,-1
flexivit_large.600ep_in1k,240,76.020,23.980,92.790,7.210,304.36,0.950,bicubic,-9.510,-4.704,+8
cait_s36_384.fb_dist_in1k,384,76.010,23.990,92.920,7.080,68.37,1.000,bicubic,-9.448,-4.560,+14
tf_efficientnetv2_l.in1k,480,76.000,24.000,93.040,6.960,118.52,1.000,bicubic,-9.660,-4.432,-6
tf_efficientnet_b7.ap_in1k,600,75.970,24.030,92.910,7.090,66.35,0.949,bicubic,-9.162,-4.346,+51
tf_efficientnet_b8.ap_in1k,672,75.970,24.030,92.640,7.360,87.41,0.954,bicubic,-9.388,-4.658,+25
efficientvit_l3.r224_in1k,224,75.960,24.040,92.470,7.530,246.04,1.000,bicubic,-9.850,-4.740,-22
convformer_s36.sail_in1k_384,384,75.940,24.060,93.070,6.930,40.01,1.000,bicubic,-9.440,-4.398,+21
dm_nfnet_f6.dm_in1k,448,75.880,24.120,92.980,7.020,438.36,0.956,bicubic,-10.276,-4.782,-59
tf_efficientnetv2_xl.in21k_ft_in1k,384,75.880,24.120,92.820,7.180,208.12,1.000,bicubic,-9.682,-4.636,-2
hgnet_base.ssld_in1k,224,75.880,24.120,92.780,7.220,71.58,0.965,bicubic,-9.028,-4.562,+79
hgnetv2_b5.ssld_stage2_ft_in1k,288,75.870,24.130,93.530,6.470,39.57,1.000,bicubic,-9.288,-4.058,+39
efficientvit_l2.r256_in1k,256,75.870,24.130,92.480,7.520,63.71,1.000,bicubic,-9.510,-4.776,+17
dm_nfnet_f4.dm_in1k,512,75.850,24.150,92.990,7.010,316.07,0.951,bicubic,-9.988,-4.786,-32
vit_base_patch8_224.augreg_in21k_ft_in1k,224,75.830,24.170,93.370,6.630,86.58,0.900,bicubic,-10.008,-4.282,-35
xcit_large_24_p16_384.fb_dist_in1k,384,75.830,24.170,92.780,7.220,189.10,1.000,bicubic,-9.948,-4.750,-29
eva02_small_patch14_336.mim_in22k_ft_in1k,336,75.830,24.170,92.760,7.240,22.13,1.000,bicubic,-9.940,-4.856,-26
flexivit_large.300ep_in1k,240,75.820,24.180,92.660,7.340,304.36,0.950,bicubic,-9.464,-4.744,+16
xcit_small_24_p8_384.fb_dist_in1k,384,75.810,24.190,92.970,7.030,47.63,1.000,bicubic,-9.770,-4.578,-14
deit3_huge_patch14_224.fb_in1k,224,75.800,24.200,92.730,7.270,632.13,0.900,bicubic,-9.404,-4.456,+24
vit_base_patch16_clip_224.laion2b_ft_in1k,224,75.790,24.210,92.860,7.140,86.57,1.000,bicubic,-9.698,-4.726,-5
convformer_s36.sail_in22k_ft_in1k,224,75.770,24.230,93.330,6.670,40.01,1.000,bicubic,-9.650,-4.244,+3
efficientnet_b5.sw_in12k_ft_in1k,448,75.760,24.240,93.130,6.870,30.39,1.000,bicubic,-10.134,-4.612,-48
vit_base_patch16_clip_224.openai_ft_in12k_in1k,224,75.730,24.270,92.950,7.050,86.57,0.950,bicubic,-10.224,-4.774,-51
vit_medium_patch16_gap_384.sw_in12k_ft_in1k,384,75.710,24.290,92.950,7.050,39.03,0.950,bicubic,-9.846,-4.688,-17
swin_base_patch4_window7_224.ms_in22k_ft_in1k,224,75.700,24.300,93.210,6.790,87.77,0.900,bicubic,-9.576,-4.468,+11
caformer_b36.sail_in1k,224,75.700,24.300,92.680,7.320,98.75,1.000,bicubic,-9.802,-4.636,-14
beit_base_patch16_224.in22k_ft_in22k_in1k,224,75.690,24.310,93.430,6.570,86.53,0.900,bicubic,-9.548,-4.224,+13
volo_d1_384.sail_in1k,384,75.690,24.310,92.980,7.020,26.78,1.000,bicubic,-9.572,-4.238,+9
volo_d3_224.sail_in1k,224,75.690,24.310,92.950,7.050,86.33,0.960,bicubic,-9.750,-4.324,-9
xcit_medium_24_p8_224.fb_dist_in1k,224,75.660,24.340,92.780,7.220,84.32,1.000,bicubic,-9.418,-4.494,+34
resnext101_32x16d.fb_wsl_ig1b_ft_in1k,224,75.650,24.350,92.950,7.050,194.03,0.875,bilinear,-8.516,-4.242,+167
hgnetv2_b5.ssld_stage1_in22k_in1k,224,75.650,24.350,92.700,7.300,39.57,0.965,bicubic,-8.806,-4.148,+114
regnety_120.sw_in12k_ft_in1k,288,75.630,24.370,92.940,7.060,51.82,1.000,bicubic,-9.798,-4.636,-11
hgnetv2_b5.ssld_stage2_ft_in1k,224,75.620,24.380,92.900,7.100,39.57,0.965,bicubic,-9.204,-4.394,+68
vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k,256,75.620,24.380,92.500,7.500,60.40,0.950,bicubic,-9.806,-4.978,-12
hiera_base_plus_224.mae_in1k_ft_in1k,224,75.580,24.420,92.490,7.510,69.90,0.900,bicubic,-9.556,-4.672,+18
beit3_base_patch16_224.in22k_ft_in1k,224,75.570,24.430,93.110,6.890,86.66,1.000,bicubic,-9.820,-4.530,-10
caformer_m36.sail_in1k,224,75.570,24.430,92.350,7.650,56.20,1.000,bicubic,-9.672,-4.876,+1
convnextv2_base.fcmae_ft_in1k,288,75.560,24.440,92.830,7.170,88.72,1.000,bicubic,-9.930,-4.550,-26
vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,448,75.550,24.450,92.830,7.170,88.34,1.000,bicubic,-10.242,-4.804,-55
convnext_small.fb_in22k_ft_in1k,288,75.540,24.460,93.200,6.800,50.22,1.000,bicubic,-9.736,-4.366,-6
vit_large_patch16_rope_224.naver_in1k,224,75.540,24.460,92.230,7.770,304.17,0.900,bicubic,-9.106,-4.890,+78
tf_efficientnet_b4.ns_jft_in1k,380,75.530,24.470,92.850,7.150,19.34,0.922,bicubic,-9.626,-4.632,+8
regnety_320.swag_lc_in1k,224,75.520,24.480,93.790,6.210,145.05,0.965,bicubic,-9.134,-3.702,+73
inception_next_base.sail_in1k_384,384,75.520,24.480,92.530,7.470,86.67,1.000,bicubic,-9.682,-4.744,+1
hrnet_w48_ssld.paddle_in1k,288,75.510,24.490,92.850,7.150,77.47,1.000,bilinear,-8.974,-4.374,+95
nextvit_base.bd_ssld_6m_in1k,224,75.500,24.500,93.170,6.830,44.82,0.950,bicubic,-9.686,-4.430,0
resnext101_32x8d.fb_swsl_ig1b_ft_in1k,224,75.470,24.530,92.690,7.310,88.79,0.875,bilinear,-8.806,-4.498,+133
volo_d2_224.sail_in1k,224,75.470,24.530,92.470,7.530,58.68,0.960,bicubic,-9.734,-4.894,-5
regnetz_e8.ra3_in1k,320,75.460,24.540,92.550,7.450,57.70,1.000,bicubic,-9.556,-4.728,+19
dm_nfnet_f3.dm_in1k,416,75.430,24.570,92.900,7.100,254.92,0.940,bicubic,-10.246,-4.676,-56
dm_nfnet_f5.dm_in1k,544,75.430,24.570,92.770,7.230,377.21,0.954,bicubic,-10.672,-4.988,-97
vit_base_r50_s16_384.orig_in21k_ft_in1k,384,75.420,24.580,92.750,7.250,98.95,1.000,bicubic,-9.568,-4.546,+22
deit_base_distilled_patch16_384.fb_in1k,384,75.400,24.600,92.520,7.480,87.63,1.000,bicubic,-10.038,-4.812,-34
cait_s24_384.fb_dist_in1k,384,75.380,24.620,92.520,7.480,47.06,1.000,bicubic,-9.668,-4.830,+10
tf_efficientnet_b6.ap_in1k,528,75.380,24.620,92.300,7.700,43.04,0.942,bicubic,-9.414,-4.838,+49
tf_efficientnetv2_l.in1k,384,75.350,24.650,92.360,7.640,118.52,1.000,bicubic,-9.852,-5.064,-11
tf_efficientnetv2_m.in21k_ft_in1k,384,75.340,24.660,92.660,7.340,54.14,1.000,bicubic,-9.428,-4.774,+49
vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,384,75.330,24.670,92.690,7.310,88.30,1.000,bicubic,-10.068,-4.974,-34
vit_base_patch16_224.augreg2_in21k_ft_in1k,224,75.320,24.680,93.280,6.720,86.57,0.900,bicubic,-9.788,-4.250,-6
convnext_small.in12k_ft_in1k,224,75.320,24.680,92.800,7.200,50.22,0.950,bicubic,-9.844,-4.702,-12
hgnet_small.ssld_in1k,288,75.320,24.680,92.660,7.340,24.36,1.000,bicubic,-9.048,-4.470,+108
dm_nfnet_f5.dm_in1k,416,75.300,24.700,92.470,7.530,377.21,0.954,bicubic,-10.412,-5.080,-69
dm_nfnet_f4.dm_in1k,384,75.300,24.700,92.450,7.550,316.07,0.951,bicubic,-10.214,-5.228,-52
efficientnet_x_b5.sw_r448_e450_in1k,576,75.290,24.710,92.760,7.240,33.44,1.000,bicubic,-9.638,-4.552,+20
vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k,256,75.290,24.710,92.440,7.560,38.88,0.950,bicubic,-9.666,-4.944,+13
vit_large_patch16_rope_mixed_ape_224.naver_in1k,224,75.290,24.710,92.230,7.770,304.40,0.900,bicubic,-9.556,-5.256,+30
efficientvit_l2.r224_in1k,224,75.270,24.730,92.030,7.970,63.71,1.000,bicubic,-9.776,-5.074,-1
caformer_s18.sail_in1k_384,384,75.240,24.760,92.650,7.350,26.34,1.000,bicubic,-9.796,-4.704,-1
mambaout_base_short_rw.sw_e500_in1k,288,75.240,24.760,92.500,7.500,88.83,1.000,bicubic,-9.602,-4.786,+28
coat_lite_medium_384.in1k,384,75.210,24.790,92.180,7.820,44.57,1.000,bicubic,-9.680,-5.196,+19
xcit_medium_24_p16_384.fb_dist_in1k,384,75.190,24.810,92.320,7.680,84.40,1.000,bicubic,-10.244,-5.088,-51
nextvit_small.bd_ssld_6m_in1k,224,75.170,24.830,92.810,7.190,31.76,0.950,bicubic,-9.702,-4.562,+20
efficientnet_h_b5.sw_r448_e450_in1k,576,75.170,24.830,92.650,7.350,45.88,1.000,bicubic,-9.772,-4.740,+6
mambaout_base_wide_rw.sw_e500_in1k,288,75.170,24.830,92.360,7.640,94.45,1.000,bicubic,-9.796,-4.862,+1
vit_large_patch16_rope_ape_224.naver_in1k,224,75.170,24.830,92.340,7.660,304.37,0.900,bicubic,-9.490,-4.806,+42
vit_large_patch16_rope_mixed_224.naver_in1k,224,75.150,24.850,92.270,7.730,304.20,0.900,bicubic,-9.690,-4.858,+22
tf_efficientnetv2_m.in1k,480,75.140,24.860,92.630,7.370,54.14,1.000,bicubic,-10.068,-4.728,-36
deit3_small_patch16_384.fb_in22k_ft_in1k,384,75.130,24.870,92.800,7.200,22.21,1.000,bicubic,-9.716,-4.318,+17
efficientnetv2_rw_m.agc_in1k,416,75.130,24.870,92.540,7.460,53.24,1.000,bicubic,-9.700,-4.608,+20
regnety_2560.seer_ft_in1k,384,75.110,24.890,92.710,7.290,"1,282.60",1.000,bicubic,-10.034,-4.734,-28
rdnet_large.nv_in1k,224,75.090,24.910,92.140,7.860,186.27,0.900,bicubic,-9.704,-5.016,+21
deit3_large_patch16_224.fb_in1k,224,75.080,24.920,92.220,7.780,304.37,0.900,bicubic,-9.692,-5.124,+23
dm_nfnet_f2.dm_in1k,352,75.060,24.940,92.270,7.730,193.78,0.920,bicubic,-10.124,-5.070,-36
xcit_small_12_p8_384.fb_dist_in1k,384,75.040,24.960,92.440,7.560,26.21,1.000,bicubic,-10.028,-4.824,-20
mvitv2_large.fb_in1k,224,75.040,24.960,92.270,7.730,217.99,0.900,bicubic,-10.224,-4.918,-49
convformer_s18.sail_in22k_ft_in1k_384,384,75.030,24.970,93.000,7.000,26.77,1.000,bicubic,-9.974,-4.572,-16
hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k,256,75.020,24.980,92.410,7.590,34.36,0.950,bicubic,-9.892,-4.850,0
tiny_vit_21m_224.dist_in22k_ft_in1k,224,75.010,24.990,92.560,7.440,21.20,0.950,bicubic,-10.078,-4.692,-27
convnextv2_base.fcmae_ft_in1k,224,74.990,25.010,92.290,7.710,88.72,0.875,bicubic,-9.900,-4.798,+1
xcit_small_24_p8_224.fb_dist_in1k,224,74.980,25.020,92.400,7.600,47.63,1.000,bicubic,-9.898,-4.800,+2
convnext_small.in12k_ft_in1k,288,74.970,25.030,92.610,7.390,50.22,1.000,bicubic,-10.354,-4.944,-61
mambaout_small.in1k,288,74.970,25.030,91.700,8.300,48.49,1.000,bicubic,-9.542,-5.270,+45
mambaout_base_tall_rw.sw_e500_in1k,288,74.950,25.050,92.270,7.730,86.48,1.000,bicubic,-10.038,-5.064,-20
regnety_120.sw_in12k_ft_in1k,224,74.910,25.090,92.590,7.410,51.82,0.950,bicubic,-10.084,-4.822,-24
efficientnetv2_rw_m.agc_in1k,320,74.910,25.090,92.070,7.930,53.24,1.000,bicubic,-9.386,-4.802,+83
convnext_large.fb_in1k,288,74.900,25.100,92.080,7.920,197.77,1.000,bicubic,-9.962,-5.130,-2
coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,224,74.900,25.100,91.940,8.060,41.72,0.950,bicubic,-10.040,-5.028,-18
ecaresnet269d.ra2_in1k,352,74.870,25.130,92.770,7.230,102.09,1.000,bicubic,-10.098,-4.454,-23
maxvit_tiny_tf_384.in1k,384,74.860,25.140,92.400,7.600,30.98,1.000,bicubic,-10.246,-4.982,-43
convformer_b36.sail_in1k,224,74.840,25.160,91.640,8.360,99.88,1.000,bicubic,-9.986,-5.308,0
mambaout_small_rw.sw_e450_in1k,288,74.820,25.180,91.790,8.210,48.50,1.000,bicubic,-9.784,-5.306,+23
convnext_small.fb_in22k_ft_in1k,224,74.800,25.200,92.900,7.100,50.22,0.875,bicubic,-9.782,-4.378,+23
convnext_tiny.in12k_ft_in1k_384,384,74.790,25.210,92.830,7.170,28.59,1.000,bicubic,-10.364,-4.804,-53
ecaresnet269d.ra2_in1k,320,74.790,25.210,92.490,7.510,102.09,0.950,bicubic,-9.934,-4.690,+6
convformer_s18.sail_in1k_384,384,74.760,25.240,92.540,7.460,26.77,1.000,bicubic,-9.632,-4.570,+58
deit3_base_patch16_384.fb_in1k,384,74.760,25.240,92.190,7.810,86.88,1.000,bicubic,-10.328,-5.164,-43
maxxvit_rmlp_small_rw_256.sw_in1k,256,74.750,25.250,91.910,8.090,66.01,0.950,bicubic,-9.884,-5.152,+13
dm_nfnet_f3.dm_in1k,320,74.710,25.290,91.920,8.080,254.92,0.940,bicubic,-10.382,-5.466,-49
hrnet_w48_ssld.paddle_in1k,224,74.690,25.310,92.090,7.910,77.47,0.950,bilinear,-8.966,-4.758,+178
deit3_medium_patch16_224.fb_in22k_ft_in1k,224,74.680,25.320,92.570,7.430,38.85,1.000,bicubic,-9.870,-4.610,+21
maxvit_large_tf_224.in1k,224,74.670,25.330,91.800,8.200,211.79,0.950,bicubic,-10.268,-5.180,-31
mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k,544,74.660,25.340,91.910,8.090,32.59,1.000,bicubic,-10.330,-5.384,-40
xcit_small_24_p16_384.fb_dist_in1k,384,74.650,25.350,92.530,7.470,47.67,1.000,bicubic,-10.452,-4.788,-56
mambaout_base_wide_rw.sw_e500_in1k,224,74.640,25.360,91.930,8.070,94.45,0.950,bicubic,-9.808,-5.398,+36
regnetz_e8.ra3_in1k,256,74.630,25.370,91.830,8.170,57.70,0.940,bicubic,-9.788,-5.158,+46
eca_nfnet_l2.ra3_in1k,384,74.590,25.410,92.700,7.300,56.72,1.000,bicubic,-10.120,-4.292,-6
caformer_s36.sail_in1k,224,74.580,25.420,92.020,7.980,39.30,1.000,bicubic,-9.948,-5.002,+18
xcit_large_24_p16_224.fb_dist_in1k,224,74.560,25.440,91.990,8.010,189.10,1.000,bicubic,-10.376,-5.138,-37
mambaout_base.in1k,288,74.560,25.440,91.410,8.590,84.81,1.000,bicubic,-10.170,-5.524,-10
tf_efficientnet_b8.ra_in1k,672,74.550,25.450,92.180,7.820,87.41,0.954,bicubic,-10.794,-5.212,-93
vit_medium_patch16_gap_256.sw_in12k_ft_in1k,256,74.550,25.450,91.910,8.090,38.86,0.950,bicubic,-9.892,-5.304,+31
hiera_base_224.mae_in1k_ft_in1k,224,74.550,25.450,91.840,8.160,51.52,0.900,bicubic,-9.978,-5.170,+12
vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k,256,74.550,25.450,91.590,8.410,63.95,0.950,bicubic,-9.766,-5.220,+52
regnety_160.swag_lc_in1k,224,74.500,25.500,93.040,6.960,83.59,0.965,bicubic,-9.306,-4.244,+131
gcvit_base.in1k,224,74.490,25.510,91.770,8.230,90.32,0.875,bicubic,-9.966,-5.448,+21
maxvit_rmlp_small_rw_224.sw_in1k,224,74.470,25.530,91.480,8.520,64.90,0.900,bicubic,-10.018,-5.292,+12
convnext_tiny.in12k_ft_in1k,288,74.460,25.540,92.600,7.400,28.59,1.000,bicubic,-9.988,-4.474,+21
tf_efficientnet_b7.ra_in1k,600,74.460,25.540,92.130,7.870,66.35,0.949,bicubic,-10.466,-5.090,-42
nextvit_large.bd_in1k_384,384,74.440,25.560,92.550,7.450,57.87,1.000,bicubic,-10.490,-4.944,-45
caformer_s18.sail_in22k_ft_in1k,224,74.440,25.560,92.520,7.480,26.34,1.000,bicubic,-9.652,-4.662,+77
fastvit_ma36.apple_dist_in1k,256,74.440,25.560,91.930,8.070,44.07,0.950,bicubic,-10.168,-5.066,-9
mambaout_base_short_rw.sw_e500_in1k,224,74.430,25.570,91.850,8.150,88.83,0.950,bicubic,-9.934,-5.094,+37
mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k,480,74.400,25.600,92.090,7.910,32.59,1.000,bicubic,-10.372,-4.958,-29
mambaout_base_tall_rw.sw_e500_in1k,224,74.400,25.600,91.710,8.290,86.48,0.950,bicubic,-10.036,-5.246,+19
davit_base.msft_in1k,224,74.400,25.600,91.650,8.350,87.95,0.950,bicubic,-10.252,-5.370,-17
rexnetr_300.sw_in12k_ft_in1k,288,74.390,25.610,92.470,7.530,34.81,1.000,bicubic,-10.192,-4.944,-13
xcit_small_12_p16_384.fb_dist_in1k,384,74.390,25.610,92.140,7.860,26.25,1.000,bicubic,-10.344,-4.996,-29
tf_efficientnet_b5.ap_in1k,456,74.390,25.610,91.920,8.080,30.39,0.934,bicubic,-9.868,-5.064,+44
convformer_m36.sail_in1k,224,74.390,25.610,91.480,8.520,57.05,1.000,bicubic,-10.096,-5.386,+2
regnetz_040_h.ra3_in1k,320,74.360,25.640,92.210,7.790,28.94,1.000,bicubic,-10.138,-4.796,-4
dm_nfnet_f1.dm_in1k,320,74.360,25.640,92.040,7.960,132.63,0.910,bicubic,-10.340,-5.138,-27
rdnet_base.nv_in1k,224,74.330,25.670,91.820,8.180,87.45,0.900,bicubic,-10.036,-5.058,+26
maxvit_base_tf_224.in1k,224,74.310,25.690,91.880,8.120,119.47,0.950,bicubic,-10.574,-5.122,-52
vit_base_patch32_clip_384.openai_ft_in12k_in1k,384,74.300,25.700,92.450,7.550,88.30,0.950,bicubic,-10.918,-4.948,-105
tf_efficientnetv2_s.in21k_ft_in1k,384,74.300,25.700,92.410,7.590,21.46,1.000,bicubic,-10.032,-4.864,+26
hgnet_small.ssld_in1k,224,74.300,25.700,92.090,7.910,24.36,0.965,bicubic,-9.518,-4.756,+107
eca_nfnet_l2.ra3_in1k,320,74.290,25.710,92.320,7.680,56.72,0.900,bicubic,-9.880,-4.696,+47
regnetz_040.ra3_in1k,320,74.290,25.710,91.850,8.150,27.12,1.000,bicubic,-9.952,-5.086,+38
mobilenetv4_hybrid_large.ix_e600_r384_in1k,448,74.290,25.710,91.630,8.370,37.76,1.000,bicubic,-10.062,-5.258,+23
resnest200e.in1k,320,74.250,25.750,91.860,8.140,70.20,0.909,bicubic,-9.630,-5.020,+88
hgnetv2_b4.ssld_stage2_ft_in1k,288,74.240,25.760,92.540,7.460,19.80,1.000,bicubic,-9.712,-4.526,+72
mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k,448,74.240,25.760,91.600,8.400,32.59,0.950,bicubic,-10.428,-5.508,-36
nextvit_base.bd_in1k_384,384,74.220,25.780,92.190,7.810,44.82,1.000,bicubic,-10.486,-5.030,-41
vit_large_r50_s32_224.augreg_in21k_ft_in1k,224,74.200,25.800,92.310,7.690,328.99,0.900,bicubic,-10.234,-4.842,-2
resmlp_big_24_224.fb_in22k_ft_in1k,224,74.200,25.800,92.080,7.920,129.14,0.875,bicubic,-10.214,-5.028,+5
resnetrs200.tf_in1k,320,74.200,25.800,91.860,8.140,93.21,1.000,bicubic,-10.248,-5.012,-5
coatnet_rmlp_2_rw_224.sw_in1k,224,74.200,25.800,91.240,8.760,73.88,0.950,bicubic,-10.408,-5.504,-32
seresnet152d.ra2_in1k,320,74.190,25.810,91.990,8.010,66.84,1.000,bicubic,-10.154,-5.054,+13
efficientnet_h_b5.sw_r448_e450_in1k,448,74.190,25.810,91.940,8.060,45.88,1.000,bicubic,-10.228,-5.200,+1
convnext_large.fb_in1k,224,74.190,25.810,91.530,8.470,197.77,0.875,bicubic,-10.114,-5.412,+16
mvitv2_base.fb_in1k,224,74.190,25.810,91.510,8.490,51.47,0.900,bicubic,-10.234,-5.398,-2
swinv2_base_window16_256.ms_in1k,256,74.180,25.820,91.870,8.130,87.92,0.900,bicubic,-10.428,-5.194,-41
convnext_base.fb_in1k,288,74.180,25.820,91.670,8.330,88.59,1.000,bicubic,-10.286,-5.312,-20
xcit_large_24_p8_224.fb_in1k,224,74.170,25.830,90.850,9.150,188.93,1.000,bicubic,-10.210,-6.068,+2
flexivit_base.1200ep_in1k,240,74.160,25.840,91.810,8.190,86.59,0.950,bicubic,-10.518,-5.170,-52
vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k,256,74.160,25.840,91.680,8.320,22.52,0.950,bicubic,-9.640,-4.904,+92
convnextv2_tiny.fcmae_ft_in22k_in1k_384,384,74.130,25.870,92.450,7.550,28.64,1.000,bicubic,-10.968,-5.182,-111
tf_efficientnetv2_m.in1k,384,74.130,25.870,91.940,8.060,54.14,1.000,bicubic,-10.424,-5.118,-37
convformer_s36.sail_in1k,224,74.130,25.870,91.200,8.800,40.01,1.000,bicubic,-9.938,-5.544,+41
convnext_tiny.in12k_ft_in1k,224,74.120,25.880,92.170,7.830,28.59,0.950,bicubic,-10.072,-4.690,+24
cait_xs24_384.fb_dist_in1k,384,74.110,25.890,91.920,8.080,26.67,1.000,bicubic,-9.954,-4.968,+38
efficientvit_l1.r224_in1k,224,74.110,25.890,91.680,8.320,52.65,1.000,bicubic,-10.354,-5.180,-28
vit_base_patch16_rope_reg1_gap_256.sbb_in1k,256,74.110,25.890,91.060,8.940,86.43,0.950,bicubic,-9.762,-5.616,+69
vit_base_patch16_224.augreg_in21k_ft_in1k,224,74.100,25.900,92.370,7.630,86.57,0.900,bicubic,-10.434,-4.930,-41
volo_d1_224.sail_in1k,224,74.100,25.900,92.050,7.950,26.63,0.960,bicubic,-10.048,-4.722,+24
mobilenetv4_hybrid_large.e600_r384_in1k,448,74.100,25.900,92.000,8.000,37.76,1.000,bicubic,-10.164,-4.956,+5
efficientnetv2_rw_s.ra2_in1k,384,74.090,25.910,91.790,8.210,23.94,1.000,bicubic,-9.740,-4.922,+70
vit_base_patch16_224_miil.in21k_ft_in1k,224,74.060,25.940,91.630,8.370,86.54,0.875,bilinear,-10.218,-5.168,+1
flexivit_base.600ep_in1k,240,74.050,25.950,91.610,8.390,86.59,0.950,bicubic,-10.514,-5.300,-50
resnext101_32x4d.fb_swsl_ig1b_ft_in1k,224,74.040,25.960,91.940,8.060,44.18,0.875,bilinear,-9.228,-4.820,+168
hiera_small_abswin_256.sbb2_pd_e200_in12k_ft_in1k,256,74.040,25.960,91.730,8.270,34.36,0.950,bicubic,-10.524,-5.378,-53
seresnext101d_32x8d.ah_in1k,288,74.040,25.960,91.660,8.340,93.59,1.000,bicubic,-10.340,-5.004,-18
seresnextaa101d_32x8d.ah_in1k,288,74.040,25.960,91.640,8.360,93.59,1.000,bicubic,-10.540,-5.422,-53
tf_efficientnetv2_s.in1k,384,74.040,25.960,91.420,8.580,21.46,1.000,bicubic,-9.860,-5.282,+50
mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k,384,74.020,25.980,91.210,8.790,32.59,0.950,bicubic,-10.294,-5.892,-11
flexivit_base.300ep_in1k,240,74.010,25.990,91.350,8.650,86.59,0.950,bicubic,-10.392,-5.534,-23
crossvit_18_dagger_408.in1k,408,74.010,25.990,91.300,8.700,44.61,1.000,bicubic,-10.188,-5.534,+5
inception_next_base.sail_in1k,224,74.000,26.000,91.370,8.630,86.67,0.950,bicubic,-10.098,-5.768,+17
hgnetv2_b4.ssld_stage2_ft_in1k,224,73.970,26.030,91.950,8.050,19.80,0.965,bicubic,-9.730,-4.838,+92
mambaout_small.in1k,224,73.970,26.030,91.140,8.860,48.49,1.000,bicubic,-10.124,-5.486,+16
davit_small.msft_in1k,224,73.960,26.040,91.570,8.430,49.75,0.950,bicubic,-10.292,-5.372,-8
resnest269e.in1k,416,73.940,26.060,92.040,7.960,110.93,0.928,bicubic,-10.602,-4.948,-60
efficientnet_x_b5.sw_r448_e450_in1k,448,73.940,26.060,91.660,8.340,33.44,1.000,bicubic,-10.262,-5.312,-2
fastvit_sa36.apple_dist_in1k,256,73.920,26.080,91.660,8.340,31.53,0.900,bicubic,-10.108,-5.212,+25
xcit_small_12_p8_224.fb_dist_in1k,224,73.910,26.090,91.690,8.310,26.21,1.000,bicubic,-10.342,-5.184,-11
eca_nfnet_l1.ra2_in1k,320,73.880,26.120,92.030,7.970,41.41,1.000,bicubic,-10.182,-4.996,+16
tf_efficientnet_b7.aa_in1k,600,73.880,26.120,91.720,8.280,66.35,0.949,bicubic,-10.544,-5.144,-39
vit_base_patch16_rope_ape_224.naver_in1k,224,73.880,26.120,91.540,8.460,86.59,0.900,bicubic,-9.900,-5.070,+63
vit_small_r26_s32_384.augreg_in21k_ft_in1k,384,73.870,26.130,92.230,7.770,36.47,1.000,bicubic,-10.196,-5.080,+11
tf_efficientnet_b6.aa_in1k,528,73.860,26.140,91.670,8.330,43.04,0.942,bicubic,-10.264,-5.220,+1
deit3_small_patch16_224.fb_in22k_ft_in1k,224,73.850,26.150,91.970,8.030,22.06,1.000,bicubic,-9.232,-4.804,+180
repvgg_d2se.rvgg_in1k,320,73.850,26.150,91.390,8.610,133.33,1.000,bilinear,-9.700,-5.272,+100
resnetrs420.tf_in1k,416,73.830,26.170,91.690,8.310,191.89,1.000,bicubic,-11.180,-5.420,-134
pit_b_distilled_224.in1k,224,73.820,26.180,90.740,9.260,74.79,0.900,bicubic,-9.954,-5.728,+59
tf_efficientnet_b3.ns_jft_in1k,300,73.810,26.190,91.790,8.210,12.23,0.904,bicubic,-10.244,-5.136,+8
regnety_1280.seer_ft_in1k,384,73.800,26.200,91.760,8.240,644.81,1.000,bicubic,-10.626,-5.326,-50
vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k,256,73.800,26.200,91.160,8.840,60.23,0.950,bicubic,-10.106,-5.518,+21
focalnet_base_lrf.ms_in1k,224,73.800,26.200,91.070,8.930,88.75,0.900,bicubic,-10.028,-5.540,+42
vit_base_patch16_384.orig_in21k_ft_in1k,384,73.780,26.220,92.090,7.910,86.86,1.000,bicubic,-10.432,-5.120,-19
convnext_base.fb_in1k,224,73.780,26.220,91.250,8.750,88.59,0.875,bicubic,-10.058,-5.496,+35
vit_medium_patch16_rope_reg1_gap_256.sbb_in1k,256,73.770,26.230,91.500,8.500,38.74,0.950,bicubic,-10.040,-5.324,+40
seresnext101_32x8d.ah_in1k,288,73.770,26.230,91.380,8.620,93.57,1.000,bicubic,-10.422,-5.752,-16
rdnet_small.nv_in1k,224,73.770,26.230,91.340,8.660,50.44,0.900,bicubic,-9.888,-5.364,+74
mambaout_base.in1k,224,73.760,26.240,91.000,9.000,84.81,1.000,bicubic,-10.434,-5.668,-21
vit_base_patch16_rope_mixed_ape_224.naver_in1k,224,73.750,26.250,91.390,8.610,86.59,0.900,bicubic,-10.148,-5.362,+19
regnetz_d32.ra3_in1k,320,73.740,26.260,91.860,8.140,27.58,0.950,bicubic,-10.288,-4.990,-1
fastvit_ma36.apple_in1k,256,73.740,26.260,91.580,8.420,44.07,0.950,bicubic,-10.144,-5.176,+21
efficientvit_b3.r288_in1k,288,73.740,26.260,91.410,8.590,48.65,1.000,bicubic,-10.422,-5.322,-19
resnetrs420.tf_in1k,320,73.740,26.260,91.080,8.920,191.89,1.000,bicubic,-10.500,-5.782,-31
regnetz_d8.ra3_in1k,320,73.730,26.270,91.960,8.040,23.37,1.000,bicubic,-10.314,-5.044,-6
resnext101_32x16d.fb_swsl_ig1b_ft_in1k,224,73.720,26.280,92.090,7.910,194.03,0.875,bilinear,-9.620,-4.754,+124
maxvit_small_tf_224.in1k,224,73.700,26.300,91.400,8.600,68.93,0.950,bicubic,-10.752,-5.424,-75
regnetz_040.ra3_in1k,256,73.700,26.300,91.240,8.760,27.12,1.000,bicubic,-9.944,-5.442,+67
swin_small_patch4_window7_224.ms_in22k_ft_in1k,224,73.690,26.310,92.330,7.670,49.61,0.900,bicubic,-9.640,-4.666,+124
resnetaa101d.sw_in12k_ft_in1k,288,73.690,26.310,91.780,8.220,44.57,1.000,bicubic,-10.424,-5.334,-24
mambaout_small_rw.sw_e450_in1k,224,73.690,26.310,91.110,8.890,48.50,1.000,bicubic,-10.350,-5.632,-10
resnext101_32x8d.fb_wsl_ig1b_ft_in1k,224,73.680,26.320,92.180,7.820,88.79,0.875,bilinear,-9.040,-4.444,+206
gcvit_small.in1k,224,73.680,26.320,91.320,8.680,51.09,0.875,bicubic,-10.224,-5.644,+4
swinv2_base_window8_256.ms_in1k,256,73.670,26.330,91.610,8.390,87.92,0.900,bicubic,-10.576,-5.292,-45
xcit_medium_24_p16_224.fb_dist_in1k,224,73.670,26.330,91.490,8.510,84.40,1.000,bicubic,-10.622,-5.446,-51
maxvit_rmlp_tiny_rw_256.sw_in1k,256,73.640,26.360,91.410,8.590,29.15,0.950,bicubic,-10.586,-5.372,-43
edgenext_base.usi_in1k,320,73.630,26.370,91.770,8.230,18.51,1.000,bicubic,-10.340,-5.000,-10
mobilenetv4_hybrid_large.ix_e600_r384_in1k,384,73.630,26.370,91.080,8.920,37.76,0.950,bicubic,-10.366,-5.634,-12
hgnetv2_b4.ssld_stage1_in22k_in1k,288,73.600,26.400,92.340,7.660,19.80,1.000,bicubic,-9.850,-4.580,+86
edgenext_base.in21k_ft_in1k,320,73.600,26.400,91.840,8.160,18.51,1.000,bicubic,-10.476,-5.368,-27
vit_base_patch16_rope_mixed_224.naver_in1k,224,73.600,26.400,91.340,8.660,86.44,0.900,bicubic,-10.206,-5.382,+22
seresnet152d.ra2_in1k,256,73.590,26.410,91.500,8.500,66.84,0.950,bicubic,-10.112,-5.120,+41
hiera_small_224.mae_in1k_ft_in1k,224,73.590,26.410,91.380,8.620,35.01,0.900,bicubic,-10.298,-5.288,-4
maxvit_tiny_rw_224.sw_in1k,224,73.590,26.410,90.860,9.140,29.06,0.950,bicubic,-9.932,-5.628,+69
convnext_small.fb_in1k,288,73.570,26.430,91.390,8.610,50.22,1.000,bicubic,-10.134,-5.400,+36
sequencer2d_l.in1k,224,73.570,26.430,91.100,8.900,54.30,0.875,bicubic,-9.836,-5.404,+92
seresnextaa101d_32x8d.ah_in1k,224,73.570,26.430,90.940,9.060,93.59,0.950,bicubic,-10.330,-5.708,-9
dm_nfnet_f2.dm_in1k,256,73.560,26.440,91.420,8.580,193.78,0.920,bicubic,-10.540,-5.490,-40
pvt_v2_b4.in1k,224,73.560,26.440,91.120,8.880,62.56,0.900,bicubic,-10.150,-5.494,+30
convnextv2_tiny.fcmae_ft_in22k_in1k,288,73.540,26.460,91.950,8.050,28.64,1.000,bicubic,-10.888,-5.310,-89
regnety_080.ra3_in1k,288,73.480,26.520,91.700,8.300,39.18,1.000,bicubic,-10.460,-5.184,-25
mobilenetv4_hybrid_large.e600_r384_in1k,384,73.480,26.520,91.520,8.480,37.76,0.950,bicubic,-10.346,-5.228,+3
edgenext_base.in21k_ft_in1k,256,73.480,26.520,91.240,8.760,18.51,0.950,bicubic,-9.936,-5.560,+82
coat_lite_medium.in1k,224,73.480,26.520,91.230,8.770,44.57,0.900,bicubic,-10.122,-5.484,+48
inception_next_small.sail_in1k,224,73.480,26.520,91.140,8.860,49.37,0.875,bicubic,-10.104,-5.458,+51
resnetrs270.tf_in1k,352,73.460,26.540,91.450,8.550,129.86,1.000,bicubic,-10.978,-5.522,-99
xcit_tiny_24_p8_384.fb_dist_in1k,384,73.450,26.550,91.660,8.340,12.11,1.000,bicubic,-10.334,-5.056,+5
repvit_m2_3.dist_450e_in1k,224,73.450,26.550,91.080,8.920,23.69,0.950,bicubic,-10.296,-5.570,+14
tresnet_v2_l.miil_in21k_ft_in1k,224,73.450,26.550,91.030,8.970,46.17,0.875,bilinear,-10.460,-5.462,-25
twins_svt_large.in1k,224,73.450,26.550,90.870,9.130,99.27,0.900,bicubic,-10.268,-5.730,+19
convformer_s18.sail_in22k_ft_in1k,224,73.440,26.560,91.930,8.070,26.77,1.000,bicubic,-10.328,-5.116,+8
regnetz_040_h.ra3_in1k,256,73.440,26.560,91.540,8.460,28.94,1.000,bicubic,-10.324,-5.160,+10
resnetrs350.tf_in1k,288,73.440,26.560,91.110,8.890,163.96,1.000,bicubic,-10.864,-5.782,-83
vit_betwixt_patch16_reg4_gap_256.sbb_in1k,256,73.430,26.570,91.240,8.760,60.40,0.950,bicubic,-10.280,-5.376,+16
deit3_base_patch16_224.fb_in1k,224,73.420,26.580,91.260,8.740,86.59,0.900,bicubic,-10.380,-5.712,-2
swinv2_small_window16_256.ms_in1k,256,73.400,26.600,91.280,8.720,49.73,0.900,bicubic,-10.816,-5.594,-72
edgenext_base.usi_in1k,256,73.400,26.600,91.170,8.830,18.51,0.950,bicubic,-10.284,-5.580,+21
resnetaa101d.sw_in12k_ft_in1k,224,73.400,26.600,91.100,8.900,44.57,0.950,bicubic,-10.144,-5.728,+42
rexnetr_300.sw_in12k_ft_in1k,224,73.390,26.610,91.800,8.200,34.81,0.950,bicubic,-10.646,-5.192,-48
regnety_064.ra3_in1k,288,73.380,26.620,91.260,8.740,30.58,1.000,bicubic,-10.336,-5.464,+6
resmlp_big_24_224.fb_distilled_in1k,224,73.380,26.620,91.090,8.910,129.14,0.875,bicubic,-10.214,-5.568,+32
resnetrs200.tf_in1k,256,73.370,26.630,91.220,8.780,93.21,1.000,bicubic,-10.514,-5.542,-31
convnext_tiny.fb_in22k_ft_in1k_384,384,73.360,26.640,91.860,8.140,28.59,1.000,bicubic,-10.738,-4.922,-65
vit_base_patch16_rope_224.naver_in1k,224,73.360,26.640,91.320,8.680,86.43,0.900,bicubic,-10.354,-5.354,+5
swin_s3_base_224.ms_in1k,224,73.360,26.640,91.270,8.730,71.13,0.900,bicubic,-10.560,-5.380,-43
resnet200d.ra2_in1k,320,73.350,26.650,91.460,8.540,64.69,1.000,bicubic,-10.626,-5.360,-49
tf_efficientnet_b5.ra_in1k,456,73.340,26.660,91.370,8.630,30.39,0.934,bicubic,-10.494,-5.394,-26
regnety_160.deit_in1k,288,73.320,26.680,91.630,8.370,83.59,1.000,bicubic,-10.384,-5.186,+5
swin_base_patch4_window12_384.ms_in1k,384,73.320,26.680,91.350,8.650,87.90,1.000,bicubic,-11.158,-5.536,-133
hgnetv2_b3.ssld_stage2_ft_in1k,288,73.300,26.700,91.840,8.160,16.29,1.000,bicubic,-10.288,-4.972,+23
hgnetv2_b4.ssld_stage1_in22k_in1k,224,73.290,26.710,91.800,8.200,19.80,0.965,bicubic,-9.602,-4.832,+132
hgnetv2_b3.ssld_stage1_in22k_in1k,288,73.280,26.720,91.960,8.040,16.29,1.000,bicubic,-9.838,-4.494,+98
regnetv_064.ra3_in1k,288,73.280,26.720,91.600,8.400,30.58,1.000,bicubic,-10.466,-5.146,-11
tf_efficientnet_b5.aa_in1k,456,73.280,26.720,91.070,8.930,30.39,0.934,bicubic,-10.416,-5.642,+5
efficientnet_b4.ra2_in1k,384,73.270,26.730,91.320,8.680,19.34,1.000,bicubic,-10.198,-5.254,+36
focalnet_base_srf.ms_in1k,224,73.270,26.730,91.300,8.700,88.15,0.900,bicubic,-10.538,-5.360,-27
vit_betwixt_patch16_reg1_gap_256.sbb_in1k,256,73.270,26.730,91.150,8.850,60.40,0.950,bicubic,-10.382,-5.396,+7
gcvit_tiny.in1k,224,73.270,26.730,90.860,9.140,28.22,0.875,bicubic,-10.130,-5.534,+51
focalnet_small_srf.ms_in1k,224,73.270,26.730,90.630,9.370,49.89,0.900,bicubic,-10.158,-5.802,+44
regnetz_d8_evos.ch_in1k,256,73.260,26.740,90.760,9.240,23.46,0.950,bicubic,-10.144,-5.902,+48
tiny_vit_21m_224.in1k,224,73.250,26.750,91.410,8.590,21.20,0.950,bicubic,-10.018,-5.192,+64
regnetz_d8.ra3_in1k,256,73.250,26.750,91.300,8.700,23.37,0.940,bicubic,-10.296,-5.446,+17
resnet152d.ra2_in1k,320,73.250,26.750,91.200,8.800,60.21,1.000,bicubic,-10.434,-5.498,-4
mvitv2_small.fb_in1k,224,73.250,26.750,91.120,8.880,34.87,0.900,bicubic,-10.522,-5.438,-24
mobilenetv4_conv_aa_large.e600_r384_in1k,480,73.200,26.800,91.170,8.830,32.59,1.000,bicubic,-10.626,-5.550,-41
swinv2_small_window8_256.ms_in1k,256,73.200,26.800,91.040,8.960,49.73,0.900,bicubic,-10.644,-5.610,-47
pvt_v2_b5.in1k,224,73.190,26.810,91.300,8.700,81.96,0.900,bicubic,-10.570,-5.334,-25
seresnext101d_32x8d.ah_in1k,224,73.180,26.820,91.200,8.800,93.59,0.950,bicubic,-10.522,-5.594,-13
vit_small_patch16_384.augreg_in21k_ft_in1k,384,73.170,26.830,91.890,8.110,22.20,1.000,bicubic,-10.644,-5.216,-45
regnetz_d8_evos.ch_in1k,320,73.170,26.830,91.630,8.370,23.46,1.000,bicubic,-10.968,-5.388,-94
vit_medium_patch16_reg4_gap_256.sbb_in1k,256,73.170,26.830,91.210,8.790,38.88,0.950,bicubic,-10.296,-5.412,+23
nest_base_jx.goog_in1k,224,73.170,26.830,90.990,9.010,67.72,0.875,bicubic,-10.382,-5.374,+5
fastvit_sa24.apple_dist_in1k,256,73.160,26.840,91.390,8.610,21.55,0.900,bicubic,-10.208,-5.184,+40
xcit_small_24_p16_224.fb_dist_in1k,224,73.150,26.850,91.460,8.540,47.67,1.000,bicubic,-10.730,-5.274,-61
fastvit_sa36.apple_in1k,256,73.150,26.850,90.960,9.040,31.53,0.900,bicubic,-10.352,-5.672,+11
resnetv2_152x4_bit.goog_in21k_ft_in1k,480,73.140,26.860,91.780,8.220,936.53,1.000,bilinear,-11.796,-5.676,-220
regnetz_d32.ra3_in1k,256,73.140,26.860,91.450,8.550,27.58,0.950,bicubic,-10.292,-5.184,+23
cs3se_edgenet_x.c2ns_in1k,320,73.140,26.860,91.280,8.720,50.72,1.000,bicubic,-10.410,-5.386,-3
xcit_small_24_p8_224.fb_in1k,224,73.140,26.860,91.230,8.770,47.63,1.000,bicubic,-10.714,-5.406,-64
ese_vovnet57b.ra4_e3600_r256_in1k,320,73.140,26.860,91.150,8.850,38.61,1.000,bicubic,-10.158,-5.372,+49
xcit_medium_24_p8_224.fb_in1k,224,73.140,26.860,90.440,9.560,84.32,1.000,bicubic,-10.604,-5.954,-34
resnetrs350.tf_in1k,384,73.130,26.870,91.180,8.820,163.96,1.000,bicubic,-11.580,-6.076,-196
seresnext101_32x8d.ah_in1k,224,73.120,26.880,90.490,9.510,93.57,0.950,bicubic,-10.498,-5.922,-15
nextvit_large.bd_in1k,224,73.100,26.900,91.550,8.450,57.87,0.950,bicubic,-10.554,-5.132,-21
eca_nfnet_l1.ra2_in1k,256,73.100,26.900,91.370,8.630,41.41,0.900,bicubic,-10.164,-5.314,+43
fasternet_l.in1k,224,73.100,26.900,90.810,9.190,93.47,1.000,bicubic,-10.416,-5.848,-3
mobilenetv4_hybrid_medium.ix_e550_r384_in1k,448,73.090,26.910,91.370,8.630,11.07,1.000,bicubic,-10.300,-5.396,+24
efficientvit_b3.r256_in1k,256,73.080,26.920,90.900,9.100,48.65,1.000,bicubic,-10.702,-5.598,-53
nextvit_small.bd_in1k_384,384,73.070,26.930,91.480,8.520,31.76,1.000,bicubic,-10.966,-5.514,-98
pvt_v2_b3.in1k,224,73.070,26.930,90.990,9.010,45.24,0.900,bicubic,-10.050,-5.570,+59
resnet200d.ra2_in1k,256,73.070,26.930,90.850,9.150,64.69,0.950,bicubic,-10.180,-5.702,+42
resnet152.a1h_in1k,288,73.060,26.940,91.130,8.870,60.19,1.000,bicubic,-10.434,-5.392,-6
naflexvit_base_patch16_gap.e300_s576_in1k,384,73.060,26.940,90.590,9.410,86.63,1.000,bicubic,-10.280,-5.776,+29
vit_medium_patch16_reg1_gap_256.sbb_in1k,256,73.050,26.950,91.050,8.950,38.88,0.950,bicubic,-10.412,-5.498,+1
resnetv2_152x2_bit.goog_in21k_ft_in1k,448,73.040,26.960,91.990,8.010,236.34,1.000,bilinear,-11.428,-5.442,-178
swin_s3_small_224.ms_in1k,224,73.030,26.970,90.720,9.280,49.74,0.900,bicubic,-10.748,-5.740,-59
deit3_small_patch16_384.fb_in1k,384,73.010,26.990,91.250,8.750,22.21,1.000,bicubic,-10.422,-5.424,0
cait_s24_224.fb_dist_in1k,224,73.010,26.990,91.200,8.800,46.92,1.000,bicubic,-10.474,-5.386,-10
repvit_m2_3.dist_300e_in1k,224,73.010,26.990,90.860,9.140,23.69,0.950,bicubic,-10.514,-5.672,-18
efficientvit_b3.r224_in1k,224,73.010,26.990,90.540,9.460,48.65,0.950,bicubic,-10.434,-5.798,+2
convnextv2_tiny.fcmae_ft_in22k_in1k,224,72.990,27.010,91.580,8.420,28.64,0.875,bicubic,-10.914,-5.082,-96
mobilenetv4_conv_large.e600_r384_in1k,448,72.980,27.020,91.240,8.760,32.59,1.000,bicubic,-10.438,-5.372,+3
regnety_080.ra3_in1k,224,72.980,27.020,90.750,9.250,39.18,0.950,bicubic,-10.186,-5.730,+36
deit_base_distilled_patch16_224.fb_in1k,224,72.970,27.030,90.960,9.040,87.34,0.900,bicubic,-10.414,-5.532,+8
maxvit_tiny_tf_224.in1k,224,72.960,27.040,90.880,9.120,30.92,0.950,bicubic,-10.466,-5.704,-1
resnetrs270.tf_in1k,256,72.930,27.070,90.620,9.380,129.86,1.000,bicubic,-10.666,-5.996,-35
efficientnetv2_rw_s.ra2_in1k,288,72.900,27.100,91.290,8.710,23.94,1.000,bicubic,-9.988,-5.038,+77
caformer_s18.sail_in1k,224,72.900,27.100,90.960,9.040,26.34,1.000,bicubic,-10.764,-5.566,-48
hgnet_tiny.ssld_in1k,288,72.890,27.110,91.590,8.410,14.74,1.000,bicubic,-9.638,-4.930,+136
regnety_640.seer_ft_in1k,384,72.890,27.110,91.270,8.730,281.38,1.000,bicubic,-11.034,-5.656,-111
resnetrs152.tf_in1k,320,72.890,27.110,91.200,8.800,86.62,1.000,bicubic,-10.820,-5.472,-58
regnety_320.tv2_in1k,224,72.890,27.110,90.780,9.220,145.05,0.965,bicubic,-10.280,-5.636,+27
efficientformerv2_l.snap_dist_in1k,224,72.860,27.140,90.820,9.180,26.32,0.950,bicubic,-10.782,-5.726,-47
rexnet_300.nav_in1k,224,72.850,27.150,90.700,9.300,34.71,0.875,bicubic,-9.930,-5.530,+85
coatnet_rmlp_1_rw_224.sw_in1k,224,72.840,27.160,90.800,9.200,41.69,0.950,bicubic,-10.510,-5.652,+3
tf_efficientnetv2_s.in21k_ft_in1k,300,72.820,27.180,91.370,8.630,21.46,1.000,bicubic,-10.528,-5.340,+3
convnextv2_tiny.fcmae_ft_in1k,288,72.810,27.190,91.080,8.920,28.64,1.000,bicubic,-10.668,-5.638,-27
regnety_160.deit_in1k,224,72.800,27.200,90.930,9.070,83.59,0.950,bicubic,-10.200,-5.572,+49
regnetv_064.ra3_in1k,224,72.800,27.200,90.710,9.290,30.58,0.950,bicubic,-10.318,-6.002,+33
swinv2_cr_small_ns_224.sw_in1k,224,72.770,27.230,90.590,9.410,49.70,0.900,bicubic,-10.720,-5.896,-32
crossvit_15_dagger_408.in1k,408,72.760,27.240,91.050,8.950,28.50,1.000,bicubic,-11.082,-5.736,-102
tf_efficientnet_b4.ap_in1k,380,72.760,27.240,91.040,8.960,19.34,0.922,bicubic,-10.486,-5.352,+10
tf_efficientnetv2_s.in1k,300,72.760,27.240,90.770,9.230,21.46,1.000,bicubic,-10.402,-5.564,+17
nextvit_base.bd_in1k,224,72.750,27.250,91.230,8.770,44.82,0.950,bicubic,-10.748,-5.418,-38
focalnet_small_lrf.ms_in1k,224,72.740,27.260,90.800,9.200,50.34,0.900,bicubic,-10.768,-5.786,-42
resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,384,72.720,27.280,90.940,9.060,236.34,1.000,bicubic,-11.138,-6.190,-110
twins_svt_base.in1k,224,72.720,27.280,90.420,9.580,56.07,0.900,bicubic,-10.402,-6.010,+22
regnetv_040.ra3_in1k,288,72.700,27.300,91.120,8.880,20.64,1.000,bicubic,-10.504,-5.562,+7
naflexvit_base_patch16_par_gap.e300_s576_in1k,384,72.700,27.300,90.650,9.350,86.63,1.000,bicubic,-10.808,-5.720,-46
resnetv2_101.a1h_in1k,288,72.700,27.300,90.580,9.420,44.54,1.000,bicubic,-10.302,-5.864,+37
efficientformer_l7.snap_dist_in1k,224,72.690,27.310,90.690,9.310,82.23,0.950,bicubic,-10.706,-5.842,-22
naflexvit_base_patch16_parfac_gap.e300_s576_in1k,384,72.690,27.310,90.660,9.340,86.46,1.000,bicubic,-10.778,-5.910,-38
vit_base_patch32_384.augreg_in21k_ft_in1k,384,72.680,27.320,91.160,8.840,88.30,1.000,bicubic,-10.678,-5.668,-19
coatnet_1_rw_224.sw_in1k,224,72.680,27.320,90.790,9.210,41.72,0.950,bicubic,-10.940,-5.592,-66
xcit_small_12_p8_224.fb_in1k,224,72.670,27.330,90.660,9.340,26.21,1.000,bicubic,-10.684,-5.760,-19
regnety_064.ra3_in1k,224,72.650,27.350,90.630,9.370,30.58,0.950,bicubic,-10.356,-5.894,+29
ecaresnet101d.miil_in1k,288,72.640,27.360,91.010,8.990,44.57,0.950,bicubic,-10.366,-5.286,+27
regnety_032.ra_in1k,288,72.610,27.390,90.930,9.070,19.44,1.000,bicubic,-10.114,-5.496,+69
xception65p.ra3_in1k,299,72.590,27.410,90.750,9.250,39.82,0.940,bicubic,-10.570,-5.620,+3
regnety_040.ra3_in1k,288,72.590,27.410,90.740,9.260,20.65,1.000,bicubic,-10.458,-5.762,+20
convnext_tiny.fb_in22k_ft_in1k,224,72.580,27.420,91.340,8.660,28.59,0.875,bicubic,-10.320,-4.950,+39
twins_pcpvt_large.in1k,224,72.580,27.420,90.880,9.120,60.99,0.900,bicubic,-10.578,-5.490,+3
xception65.ra3_in1k,299,72.570,27.430,90.710,9.290,39.92,0.940,bicubic,-10.616,-5.886,-7
pnasnet5large.tf_in1k,331,72.560,27.440,90.530,9.470,86.06,0.911,bicubic,-10.254,-5.754,+53
xcit_small_12_p16_224.fb_dist_in1k,224,72.540,27.460,91.080,8.920,26.25,1.000,bicubic,-10.814,-5.392,-28
mambaout_tiny.in1k,288,72.540,27.460,90.650,9.350,26.55,1.000,bicubic,-10.912,-5.890,-50
hgnetv2_b3.ssld_stage2_ft_in1k,224,72.530,27.470,91.290,8.710,16.29,0.965,bicubic,-10.384,-5.070,+33
mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k,320,72.530,27.470,91.290,8.710,11.07,1.000,bicubic,-10.468,-5.386,+20
vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,224,72.530,27.470,90.930,9.070,88.22,0.900,bicubic,-10.774,-5.598,-24
deit_base_patch16_384.fb_in1k,384,72.520,27.480,90.200,9.800,86.86,1.000,bicubic,-10.588,-6.176,+3
nfnet_l0.ra2_in1k,288,72.500,27.500,90.880,9.120,35.07,1.000,bicubic,-10.266,-5.614,+50
deit3_medium_patch16_224.fb_in1k,224,72.500,27.500,90.810,9.190,38.85,0.900,bicubic,-10.590,-5.302,+4
hgnetv2_b3.ssld_stage1_in22k_in1k,224,72.490,27.510,91.150,8.850,16.29,0.965,bicubic,-10.104,-5.214,+82
mobilenetv4_conv_aa_large.e600_r384_in1k,384,72.480,27.520,90.480,9.520,32.59,0.950,bicubic,-10.784,-5.910,-24
tf_efficientnet_b5.in1k,456,72.470,27.530,90.900,9.100,30.39,0.934,bicubic,-10.700,-5.634,-19
resnext101_64x4d.c1_in1k,288,72.470,27.530,90.660,9.340,83.46,1.000,bicubic,-10.688,-5.966,-10
resnext50_32x4d.fb_swsl_ig1b_ft_in1k,224,72.460,27.540,90.850,9.150,25.03,0.875,bilinear,-9.702,-5.206,+151
regnety_080_tv.tv2_in1k,224,72.460,27.540,90.510,9.490,39.38,0.965,bicubic,-10.120,-5.744,+80
gc_efficientnetv2_rw_t.agc_in1k,288,72.450,27.550,90.820,9.180,13.68,1.000,bicubic,-10.036,-5.482,+95
resnetv2_101x3_bit.goog_in21k_ft_in1k,448,72.430,27.570,92.070,7.930,387.93,1.000,bilinear,-12.000,-5.310,-230
convformer_s18.sail_in1k,224,72.430,27.570,90.560,9.440,26.77,1.000,bicubic,-10.538,-5.686,+12
xcit_tiny_24_p8_224.fb_dist_in1k,224,72.410,27.590,90.790,9.210,12.11,1.000,bicubic,-10.168,-5.396,+78
swin_base_patch4_window7_224.ms_in1k,224,72.400,27.600,90.840,9.160,87.77,0.900,bicubic,-11.204,-5.610,-94
mobilenetv4_conv_large.e600_r384_in1k,384,72.400,27.600,90.800,9.200,32.59,0.950,bicubic,-10.574,-5.444,+8
mobilenetv4_hybrid_medium.ix_e550_r384_in1k,384,72.400,27.600,90.730,9.270,11.07,0.950,bicubic,-10.552,-5.740,+9
cs3sedarknet_x.c2ns_in1k,288,72.390,27.610,91.040,8.960,35.40,1.000,bicubic,-10.264,-5.308,+54
sequencer2d_m.in1k,224,72.390,27.610,90.670,9.330,38.31,0.875,bicubic,-10.446,-5.606,+22
rdnet_tiny.nv_in1k,224,72.380,27.620,90.440,9.560,23.86,0.900,bicubic,-10.434,-5.592,+28
tnt_b_patch16_224.in1k,224,72.370,27.630,90.590,9.410,65.43,0.900,bicubic,-10.494,-5.640,+18
resnet101d.ra2_in1k,320,72.370,27.630,90.580,9.420,44.57,1.000,bicubic,-10.650,-5.876,-7
nest_small_jx.goog_in1k,224,72.360,27.640,90.730,9.270,38.35,0.875,bicubic,-10.772,-5.600,-24
hrnet_w18_ssld.paddle_in1k,288,72.340,27.660,90.770,9.230,21.30,1.000,bilinear,-9.712,-5.480,+150
maxxvit_rmlp_nano_rw_256.sw_in1k,256,72.330,27.670,90.770,9.230,16.78,0.950,bicubic,-10.706,-5.574,-11
resnest101e.in1k,256,72.330,27.670,90.770,9.230,48.28,0.875,bilinear,-10.586,-5.540,+4
nasnetalarge.tf_in1k,331,72.330,27.670,90.520,9.480,88.75,0.911,bicubic,-10.308,-5.546,+48
efficientnetv2_rw_t.ra2_in1k,288,72.320,27.680,90.460,9.540,13.65,1.000,bicubic,-10.034,-5.718,+99
tf_efficientnet_b2.ns_jft_in1k,260,72.310,27.690,91.010,8.990,9.11,0.890,bicubic,-10.102,-5.228,+85
convnext_small.fb_in1k,224,72.300,27.700,90.860,9.140,50.22,0.875,bicubic,-10.844,-5.572,-33
efficientvit_b2.r288_in1k,288,72.300,27.700,90.860,9.140,24.33,1.000,bicubic,-10.778,-5.426,-20
swiftformer_l3.dist_in1k,224,72.300,27.700,90.570,9.430,28.49,0.950,bicubic,-10.694,-5.666,-11
convnext_nano.r384_in12k_ft_in1k,384,72.260,27.740,91.040,8.960,15.59,1.000,bicubic,-11.074,-5.584,-59
resnet152d.ra2_in1k,256,72.250,27.750,90.600,9.400,60.21,0.950,bicubic,-10.910,-6.046,-39
twins_pcpvt_base.in1k,224,72.250,27.750,90.550,9.450,43.83,0.900,bicubic,-10.474,-5.800,+25
hgnetv2_b2.ssld_stage2_ft_in1k,288,72.240,27.760,90.820,9.180,11.22,1.000,bicubic,-10.122,-5.592,+87
resnext101_32x8d.tv2_in1k,224,72.240,27.760,90.160,9.840,88.79,0.965,bilinear,-10.592,-6.074,+6
efficientnet_b4.ra2_in1k,320,72.230,27.770,90.620,9.380,19.34,0.875,bicubic,-10.428,-5.514,+32
crossvit_18_240.in1k,240,72.220,27.780,90.280,9.720,43.27,0.875,bicubic,-10.170,-5.784,+80
resnext101_64x4d.tv_in1k,224,72.200,27.800,90.610,9.390,83.46,0.875,bilinear,-10.778,-5.664,-17
tresnet_xl.miil_in1k_448,448,72.200,27.800,90.110,9.890,78.44,0.875,bilinear,-10.866,-6.070,-30
resnetv2_50x1_bit.goog_distilled_in1k,224,72.180,27.820,91.080,8.920,25.55,0.875,bicubic,-10.640,-5.446,+3
tf_efficientnet_b4.aa_in1k,380,72.180,27.820,90.510,9.490,19.34,0.922,bicubic,-10.860,-5.788,-29
cs3se_edgenet_x.c2ns_in1k,256,72.170,27.830,90.750,9.250,50.72,0.950,bicubic,-10.598,-5.556,+9
maxvit_nano_rw_256.sw_in1k,256,72.160,27.840,90.460,9.540,15.45,0.950,bicubic,-10.774,-5.764,-17
dm_nfnet_f1.dm_in1k,224,72.150,27.850,90.410,9.590,132.63,0.910,bicubic,-11.294,-6.224,-98
regnetx_320.tv2_in1k,224,72.150,27.850,90.180,9.820,107.81,0.965,bicubic,-10.674,-6.020,-1
tresnet_m.miil_in21k_ft_in1k,224,72.150,27.850,90.180,9.820,31.39,0.875,bilinear,-10.940,-6.104,-39
tiny_vit_11m_224.dist_in22k_ft_in1k,224,72.140,27.860,91.380,8.620,11.00,0.950,bicubic,-11.092,-5.248,-64
cait_xxs36_384.fb_dist_in1k,384,72.140,27.860,90.780,9.220,17.37,1.000,bicubic,-10.064,-5.368,+103
rexnetr_200.sw_in12k_ft_in1k,288,72.130,27.870,91.270,8.730,16.52,1.000,bicubic,-11.030,-5.236,-58
maxxvitv2_nano_rw_256.sw_in1k,256,72.120,27.880,90.510,9.490,23.70,0.950,bicubic,-10.988,-5.822,-47
maxvit_rmlp_nano_rw_256.sw_in1k,256,72.120,27.880,90.330,9.670,15.50,0.950,bicubic,-10.858,-5.922,-30
repvit_m1_5.dist_450e_in1k,224,72.110,27.890,90.400,9.600,14.64,0.950,bicubic,-10.410,-5.858,+46
vit_relpos_medium_patch16_cls_224.sw_in1k,224,72.090,27.910,90.290,9.710,38.76,0.900,bicubic,-10.468,-5.786,+41
xcit_tiny_24_p16_384.fb_dist_in1k,384,72.080,27.920,90.520,9.480,12.12,1.000,bicubic,-10.500,-5.740,+35
fastvit_sa24.apple_in1k,256,72.070,27.930,90.750,9.250,21.55,0.900,bicubic,-10.636,-5.528,+6
regnetz_c16_evos.ch_in1k,320,72.060,27.940,91.070,8.930,13.49,0.950,bicubic,-10.600,-5.410,+11
regnetz_c16.ra3_in1k,320,72.050,27.950,90.940,9.060,13.46,1.000,bicubic,-10.612,-5.392,+9
regnety_320.seer_ft_in1k,384,72.040,27.960,90.860,9.140,145.05,1.000,bicubic,-11.284,-5.852,-84
convnext_nano.in12k_ft_in1k,288,72.030,27.970,90.870,9.130,15.59,1.000,bicubic,-10.852,-5.692,-24
convnextv2_tiny.fcmae_ft_in1k,224,72.030,27.970,90.350,9.650,28.64,0.875,bicubic,-10.918,-5.936,-34
crossvit_18_dagger_240.in1k,240,72.010,27.990,90.110,9.890,44.27,0.875,bicubic,-10.484,-5.960,+41
resnext101_64x4d.c1_in1k,224,71.980,28.020,89.710,10.290,83.46,0.950,bicubic,-10.466,-6.210,+48
coat_small.in1k,224,71.970,28.030,90.450,9.550,21.69,0.900,bicubic,-10.408,-5.764,+57
regnety_040.ra3_in1k,224,71.970,28.030,90.350,9.650,20.65,0.950,bicubic,-10.338,-5.728,+68
resnet101.a1h_in1k,288,71.950,28.050,90.770,9.230,44.55,1.000,bicubic,-10.846,-5.554,-17
fasternet_m.in1k,224,71.940,28.060,90.560,9.440,53.52,1.000,bicubic,-10.908,-5.828,-29
cs3edgenet_x.c2_in1k,288,71.940,28.060,90.390,9.610,47.82,1.000,bicubic,-10.794,-5.984,-10
mobilenetv4_hybrid_medium.ix_e550_r256_in1k,320,71.930,28.070,90.760,9.240,11.07,1.000,bicubic,-10.570,-5.526,+32
regnetv_040.ra3_in1k,224,71.930,28.070,90.440,9.560,20.64,0.950,bicubic,-10.510,-5.762,+41
mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k,256,71.930,28.070,90.410,9.590,11.07,0.950,bicubic,-10.430,-5.846,+55
regnety_160.tv2_in1k,224,71.920,28.080,90.220,9.780,83.59,0.965,bicubic,-10.726,-6.010,-1
convnext_tiny_hnf.a2h_in1k,288,71.920,28.080,89.620,10.380,28.59,1.000,bicubic,-10.688,-6.404,+8
swinv2_tiny_window16_256.ms_in1k,256,71.910,28.090,90.490,9.510,28.35,0.900,bicubic,-10.918,-5.732,-32
mobilenetv4_conv_large.e500_r256_in1k,320,71.900,28.100,90.230,9.770,32.59,1.000,bicubic,-10.772,-6.080,-10
regnetz_c16_evos.ch_in1k,256,71.890,28.110,90.750,9.250,13.49,0.950,bicubic,-10.050,-5.400,+118
inception_next_tiny.sail_in1k,224,71.890,28.110,90.020,9.980,28.06,0.875,bicubic,-10.618,-5.980,+25
dm_nfnet_f0.dm_in1k,256,71.880,28.120,90.720,9.280,71.49,0.900,bicubic,-11.588,-5.702,-136
davit_tiny.msft_in1k,224,71.880,28.120,90.240,9.760,28.36,0.950,bicubic,-10.814,-6.024,-15
vit_little_patch16_reg4_gap_256.sbb_in1k,256,71.870,28.130,90.750,9.250,22.52,0.950,bicubic,-10.650,-5.362,+18
convnext_tiny.fb_in1k,288,71.870,28.130,90.180,9.820,28.59,1.000,bicubic,-10.824,-5.964,-17
resnet101.a1_in1k,288,71.840,28.160,89.100,10.900,44.55,1.000,bicubic,-10.486,-6.530,+47
mambaout_tiny.in1k,224,71.830,28.170,89.980,10.020,26.55,1.000,bicubic,-10.912,-5.754,-28
resnetv2_50x3_bit.goog_in21k_ft_in1k,448,71.820,28.180,91.260,8.740,217.32,1.000,bilinear,-12.162,-5.870,-238
convnextv2_nano.fcmae_ft_in22k_in1k,288,71.820,28.180,90.760,9.240,15.62,1.000,bicubic,-10.846,-5.786,-18
resnetrs152.tf_in1k,256,71.810,28.190,90.250,9.750,86.62,1.000,bicubic,-11.090,-6.366,-53
xcit_tiny_12_p8_384.fb_dist_in1k,384,71.800,28.200,90.710,9.290,6.71,1.000,bicubic,-10.594,-5.484,+29
seresnext50_32x4d.racm_in1k,288,71.800,28.200,89.940,10.060,27.56,0.950,bicubic,-10.386,-6.206,+67
efficientformer_l3.snap_dist_in1k,224,71.780,28.220,90.150,9.850,31.41,0.950,bicubic,-10.782,-6.100,+5
mobilevitv2_200.cvnets_in22k_ft_in1k_384,384,71.770,28.230,90.490,9.510,18.45,1.000,bicubic,-11.660,-6.086,-137
resnet152.a1h_in1k,224,71.760,28.240,90.270,9.730,60.19,0.950,bicubic,-11.058,-5.854,-45
swin_small_patch4_window7_224.ms_in1k,224,71.750,28.250,90.220,9.780,49.61,0.900,bicubic,-11.478,-6.106,-107
hgnet_tiny.ssld_in1k,224,71.740,28.260,90.530,9.470,14.74,0.965,bicubic,-10.202,-5.588,+101
sequencer2d_s.in1k,224,71.740,28.260,90.520,9.480,27.65,0.875,bicubic,-10.596,-5.512,+33
efficientvit_b2.r256_in1k,256,71.730,28.270,90.250,9.750,24.33,1.000,bicubic,-10.982,-5.842,-34
regnetx_160.tv2_in1k,224,71.730,28.270,90.110,9.890,54.28,0.965,bicubic,-10.844,-5.948,-4
pvt_v2_b2_li.in1k,224,71.730,28.270,90.100,9.900,22.55,0.900,bicubic,-10.470,-6.008,+57
ese_vovnet57b.ra4_e3600_r256_in1k,256,71.720,28.280,90.460,9.540,38.61,0.950,bicubic,-10.740,-5.546,+11
resnet152.a2_in1k,288,71.710,28.290,89.310,10.690,60.19,1.000,bicubic,-10.904,-6.438,-21
flexivit_small.1200ep_in1k,240,71.690,28.310,90.260,9.740,22.06,0.950,bicubic,-10.886,-5.892,-8
convnext_nano.in12k_ft_in1k,224,71.670,28.330,90.600,9.400,15.59,0.950,bicubic,-10.636,-5.738,+33
resnet50.fb_swsl_ig1b_ft_in1k,224,71.670,28.330,90.580,9.420,25.56,0.875,bilinear,-9.476,-5.400,+201
vit_relpos_base_patch16_clsgap_224.sw_in1k,224,71.660,28.340,90.260,9.740,86.43,0.900,bicubic,-11.098,-5.918,-49
pit_b_224.in1k,224,71.650,28.350,89.280,10.720,73.76,0.900,bicubic,-10.808,-6.424,+6
repvit_m1_5.dist_300e_in1k,224,71.630,28.370,90.210,9.790,14.64,0.950,bicubic,-10.752,-5.816,+15
crossvit_15_dagger_240.in1k,240,71.630,28.370,89.810,10.190,28.21,0.875,bicubic,-10.672,-6.150,+30
mobilevitv2_175.cvnets_in22k_ft_in1k_384,384,71.620,28.380,90.530,9.470,14.25,1.000,bicubic,-11.300,-5.920,-79
vit_relpos_base_patch16_224.sw_in1k,224,71.610,28.390,90.230,9.770,86.43,0.900,bicubic,-10.872,-5.914,-4
gcvit_xtiny.in1k,224,71.610,28.390,90.150,9.850,19.98,0.875,bicubic,-10.354,-5.816,+79
flexivit_small.600ep_in1k,240,71.610,28.390,90.120,9.880,22.06,0.950,bicubic,-10.778,-5.922,+10
hgnetv2_b2.ssld_stage1_in22k_in1k,288,71.600,28.400,90.580,9.420,11.22,1.000,bicubic,-9.856,-5.436,+143
coatnet_bn_0_rw_224.sw_in1k,224,71.600,28.400,90.330,9.670,27.44,0.950,bicubic,-10.794,-5.892,+2
swinv2_cr_small_224.sw_in1k,224,71.600,28.400,90.140,9.860,49.70,0.900,bicubic,-11.526,-5.970,-112
resnet61q.ra2_in1k,288,71.600,28.400,90.130,9.870,36.85,1.000,bicubic,-10.932,-6.002,-18
resnetaa50d.sw_in12k_ft_in1k,224,71.600,28.400,89.710,10.290,25.58,0.950,bicubic,-10.182,-6.412,+102
eca_nfnet_l0.ra2_in1k,288,71.590,28.410,91.010,8.990,24.14,1.000,bicubic,-11.000,-5.476,-29
hiera_tiny_224.mae_in1k_ft_in1k,224,71.590,28.410,89.960,10.040,27.91,0.900,bicubic,-11.236,-6.228,-74
flexivit_small.300ep_in1k,240,71.590,28.410,89.860,10.140,22.06,0.950,bicubic,-10.580,-6.172,+40
resnet152.tv2_in1k,224,71.580,28.420,89.880,10.120,60.19,0.965,bilinear,-10.714,-6.120,+20
mvitv2_tiny.fb_in1k,224,71.560,28.440,90.220,9.780,24.17,0.900,bicubic,-10.848,-5.930,-6
efficientnet_b3.ra2_in1k,320,71.530,28.470,90.020,9.980,12.23,1.000,bicubic,-10.766,-5.916,+15
xcit_large_24_p16_224.fb_in1k,224,71.530,28.470,89.190,10.810,189.10,1.000,bicubic,-11.356,-6.690,-85
convnextv2_nano.fcmae_ft_in22k_in1k_384,384,71.520,28.480,90.640,9.360,15.62,1.000,bicubic,-11.846,-6.100,-159
convit_base.fb_in1k,224,71.520,28.480,90.080,9.920,86.54,0.875,bicubic,-10.776,-6.044,+15
poolformer_m48.sail_in1k,224,71.510,28.490,89.720,10.280,73.47,0.950,bicubic,-10.952,-6.366,-17
ecaresnet101d_pruned.miil_in1k,288,71.500,28.500,90.380,9.620,24.88,0.950,bicubic,-10.516,-5.800,+50
resnetv2_50d_evos.ah_in1k,288,71.500,28.500,90.040,9.960,25.59,1.000,bicubic,-10.524,-5.876,+51
resnet101d.ra2_in1k,256,71.500,28.500,89.850,10.150,44.57,0.950,bicubic,-10.754,-6.220,+17
tresnet_l.miil_in1k_448,448,71.480,28.520,89.960,10.040,55.99,0.875,bilinear,-10.798,-6.028,+12
tresnet_xl.miil_in1k,224,71.460,28.540,89.470,10.530,78.44,0.875,bilinear,-10.600,-6.462,+42
resnetaa50d.sw_in12k_ft_in1k,288,71.450,28.550,90.360,9.640,25.58,1.000,bicubic,-11.206,-6.132,-61
regnety_032.ra_in1k,224,71.450,28.550,90.190,9.810,19.44,0.950,bicubic,-10.498,-5.782,+60
poolformerv2_m48.sail_in1k,224,71.440,28.560,89.820,10.180,73.35,1.000,bicubic,-11.172,-6.248,-54
nextvit_small.bd_in1k,224,71.430,28.570,90.390,9.610,31.76,0.950,bicubic,-11.196,-5.834,-59
fbnetv3_g.ra2_in1k,288,71.430,28.570,90.340,9.660,16.62,0.950,bilinear,-10.604,-5.724,+42
resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,224,71.430,28.570,90.340,9.660,88.79,0.875,bilinear,-10.190,-5.696,+90
resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,224,71.430,28.570,90.280,9.720,236.34,0.875,bicubic,-11.488,-6.288,-107
mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k,384,71.410,28.590,90.630,9.370,9.72,0.950,bicubic,-11.366,-5.818,-87
efficientvit_b2.r224_in1k,224,71.390,28.610,89.670,10.330,24.33,0.950,bicubic,-10.772,-6.040,+22
vit_base_patch32_clip_224.laion2b_ft_in1k,224,71.380,28.620,90.470,9.530,88.22,0.900,bicubic,-11.234,-5.736,-63
coatnet_0_rw_224.sw_in1k,224,71.350,28.650,89.370,10.630,27.44,0.950,bicubic,-11.046,-6.474,-26
pvt_v2_b2.in1k,224,71.340,28.660,89.990,10.010,25.36,0.900,bicubic,-10.722,-5.976,+29
xcit_tiny_24_p8_224.fb_in1k,224,71.330,28.670,90.300,9.700,12.11,1.000,bicubic,-10.558,-5.678,+53
wide_resnet50_2.racm_in1k,288,71.330,28.670,90.180,9.820,68.88,0.950,bicubic,-10.930,-5.882,-2
resnet152.a1_in1k,288,71.330,28.670,89.290,10.710,60.19,1.000,bicubic,-11.412,-6.808,-87
wide_resnet101_2.tv2_in1k,224,71.320,28.680,89.740,10.260,126.89,0.965,bilinear,-11.194,-6.272,-46
ecaresnet101d.miil_in1k,224,71.300,28.700,90.190,9.810,44.57,0.875,bicubic,-10.880,-5.872,+9
nfnet_l0.ra2_in1k,224,71.300,28.700,89.510,10.490,35.07,0.900,bicubic,-10.570,-6.524,+51
resnetv2_101.a1h_in1k,224,71.290,28.710,89.770,10.230,44.54,0.950,bicubic,-10.752,-6.096,+25
resnext101_32x8d.tv2_in1k,176,71.290,28.710,89.310,10.690,88.79,0.875,bilinear,-10.700,-6.406,+32
regnetz_c16.ra3_in1k,256,71.250,28.750,90.270,9.730,13.46,0.940,bicubic,-10.912,-5.954,+9
hgnet_small.paddle_in1k,288,71.240,28.760,90.170,9.830,24.36,1.000,bicubic,-10.982,-6.054,-5
cs3sedarknet_x.c2ns_in1k,256,71.230,28.770,90.400,9.600,35.40,0.887,bicubic,-10.696,-5.622,+43
hgnetv2_b2.ssld_stage2_ft_in1k,224,71.230,28.770,90.370,9.630,11.22,0.965,bicubic,-10.334,-5.524,+79
vit_relpos_medium_patch16_224.sw_in1k,224,71.220,28.780,89.960,10.040,38.75,0.900,bicubic,-11.242,-6.008,-48
tf_efficientnet_b4.in1k,380,71.210,28.790,90.020,9.980,19.34,0.922,bicubic,-11.388,-6.112,-71
mixer_b16_224.miil_in21k_ft_in1k,224,71.200,28.800,89.540,10.460,59.88,0.875,bilinear,-11.114,-6.446,-25
resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,224,71.190,28.810,90.430,9.570,194.03,0.875,bilinear,-10.666,-5.608,+42
mobilevitv2_150.cvnets_in22k_ft_in1k_384,384,71.190,28.810,90.260,9.740,10.59,1.000,bicubic,-11.416,-6.054,-77
rexnetr_200.sw_in12k_ft_in1k,224,71.180,28.820,90.500,9.500,16.52,0.950,bicubic,-11.422,-5.896,-78
pit_s_distilled_224.in1k,224,71.170,28.830,89.590,10.410,24.04,0.900,bicubic,-10.656,-6.130,+47
ecaresnet50t.a1_in1k,288,71.170,28.830,89.550,10.450,25.57,1.000,bicubic,-10.940,-6.104,+4
convmixer_1536_20.in1k,224,71.160,28.840,89.440,10.560,51.63,0.960,bicubic,-10.222,-6.014,+106
convnext_tiny_hnf.a2h_in1k,224,71.150,28.850,89.320,10.680,28.59,0.950,bicubic,-11.080,-6.540,-18
ecaresnet50t.ra2_in1k,320,71.140,28.860,90.400,9.600,25.57,0.950,bicubic,-11.230,-5.720,-43
xcit_small_24_p16_224.fb_in1k,224,71.130,28.870,89.520,10.480,47.67,1.000,bicubic,-11.458,-6.476,-78
convnextv2_nano.fcmae_ft_in22k_in1k,224,71.120,28.880,90.300,9.700,15.62,0.875,bicubic,-10.918,-5.874,+8
crossvit_base_240.in1k,240,71.120,28.880,89.760,10.240,105.03,0.875,bicubic,-11.092,-6.066,-17
resnet51q.ra2_in1k,288,71.110,28.890,90.040,9.960,35.70,1.000,bilinear,-11.246,-6.142,-44
focalnet_tiny_srf.ms_in1k,224,71.100,28.900,89.580,10.420,28.43,0.900,bicubic,-11.046,-6.392,-7
efficientformerv2_s2.snap_dist_in1k,224,71.090,28.910,90.070,9.930,12.71,0.950,bicubic,-11.066,-5.842,-10
xcit_small_12_p16_224.fb_in1k,224,71.090,28.910,89.660,10.340,26.25,1.000,bicubic,-10.892,-6.154,+12
resnext50_32x4d.a1h_in1k,288,71.080,28.920,89.650,10.350,25.03,1.000,bicubic,-10.936,-6.284,+6
vit_base_patch16_224.orig_in21k_ft_in1k,224,71.070,28.930,90.430,9.570,86.57,0.900,bicubic,-10.712,-5.606,+38
hrnet_w18_ssld.paddle_in1k,224,71.070,28.930,89.910,10.090,21.30,0.950,bilinear,-10.044,-5.212,+134
tf_efficientnetv2_b3.in21k_ft_in1k,300,71.060,28.940,90.550,9.450,14.36,0.900,bicubic,-11.574,-6.078,-105
cs3edgenet_x.c2_in1k,256,71.060,28.940,89.880,10.120,47.82,0.887,bicubic,-11.138,-6.076,-23
focalnet_tiny_lrf.ms_in1k,224,71.060,28.940,89.520,10.480,28.65,0.900,bicubic,-11.114,-6.428,-19
tf_efficientnet_b3.ap_in1k,300,71.060,28.940,89.350,10.650,12.23,0.904,bicubic,-10.782,-6.264,+27
vit_relpos_medium_patch16_rpn_224.sw_in1k,224,71.050,28.950,89.950,10.050,38.73,0.900,bicubic,-11.264,-5.760,-49
coat_lite_small.in1k,224,71.030,28.970,89.580,10.420,19.84,0.900,bicubic,-11.274,-6.274,-46
convnextv2_nano.fcmae_ft_in1k,288,71.020,28.980,90.120,9.880,15.62,1.000,bicubic,-11.470,-6.106,-78
mobilenetv4_conv_large.e500_r256_in1k,256,71.000,29.000,89.410,10.590,32.59,0.950,bicubic,-10.864,-6.286,+17
ecaresnet50d.miil_in1k,288,70.990,29.010,90.210,9.790,25.58,0.950,bicubic,-10.658,-5.674,+37
edgenext_small.usi_in1k,320,70.990,29.010,89.790,10.210,5.59,1.000,bicubic,-10.584,-5.922,+47
repvit_m3.dist_in1k,224,70.990,29.010,89.500,10.500,10.68,0.950,bicubic,-10.504,-6.062,+61
resnetv2_50d_gn.ah_in1k,288,70.980,29.020,89.820,10.180,25.57,1.000,bicubic,-10.980,-5.960,+1
fastvit_sa12.apple_dist_in1k,256,70.980,29.020,89.220,10.780,11.58,0.900,bicubic,-10.858,-6.480,+19
swin_s3_tiny_224.ms_in1k,224,70.970,29.030,89.870,10.130,28.33,0.900,bicubic,-11.158,-6.088,-25
deit_base_patch16_224.fb_in1k,224,70.970,29.030,89.180,10.820,86.57,0.900,bicubic,-11.010,-6.560,-6
tiny_vit_11m_224.in1k,224,70.960,29.040,89.840,10.160,11.00,0.950,bicubic,-10.578,-6.030,+46
xcit_tiny_12_p8_224.fb_dist_in1k,224,70.960,29.040,89.720,10.280,6.71,1.000,bicubic,-10.254,-5.894,+102
mobilevitv2_200.cvnets_in22k_ft_in1k,256,70.950,29.050,89.560,10.440,18.45,0.888,bicubic,-11.370,-6.382,-63
xcit_medium_24_p16_224.fb_in1k,224,70.940,29.060,89.420,10.580,84.40,1.000,bicubic,-11.690,-6.558,-119
convnext_tiny.fb_in1k,224,70.930,29.070,89.820,10.180,28.59,0.875,bicubic,-11.136,-6.034,-26
halo2botnet50ts_256.a1h_in1k,256,70.920,29.080,89.540,10.460,22.64,0.950,bicubic,-11.164,-6.118,-30
visformer_small.in1k,224,70.920,29.080,89.330,10.670,40.22,0.900,bicubic,-11.172,-6.546,-30
vit_small_patch16_rope_mixed_224.naver_in1k,224,70.920,29.080,88.820,11.180,21.99,0.900,bicubic,-10.332,-6.236,+91
cs3sedarknet_l.c2ns_in1k,288,70.900,29.100,90.290,9.710,21.91,0.950,bicubic,-10.870,-5.672,+17
vit_large_patch32_384.orig_in21k_ft_in1k,384,70.890,29.110,90.460,9.540,306.63,1.000,bicubic,-10.618,-5.626,+38
cs3darknet_x.c2ns_in1k,288,70.890,29.110,90.040,9.960,35.05,1.000,bicubic,-11.344,-6.194,-55
vit_srelpos_medium_patch16_224.sw_in1k,224,70.890,29.110,89.900,10.100,38.74,0.900,bicubic,-11.366,-6.032,-58
rexnet_200.nav_in1k,224,70.880,29.120,89.860,10.140,16.37,0.875,bicubic,-10.756,-5.812,+23
coatnext_nano_rw_224.sw_in1k,224,70.870,29.130,90.190,9.810,14.70,0.900,bicubic,-11.128,-5.104,-24
coatnet_rmlp_nano_rw_224.sw_in1k,224,70.870,29.130,89.910,10.090,15.15,0.900,bicubic,-11.194,-5.964,-35
resnet101.a1h_in1k,224,70.870,29.130,89.590,10.410,44.55,0.950,bicubic,-11.080,-6.206,-15
resnest50d_4s2x40d.in1k,224,70.870,29.130,89.520,10.480,30.42,0.875,bicubic,-10.276,-6.046,+97
tnt_s_legacy_patch16_224.in1k,224,70.860,29.140,89.510,10.490,23.76,0.900,bicubic,-10.652,-6.232,+31
poolformer_m36.sail_in1k,224,70.860,29.140,89.430,10.570,56.17,0.950,bicubic,-11.244,-6.268,-43
eca_nfnet_l0.ra2_in1k,224,70.840,29.160,89.850,10.150,24.14,0.900,bicubic,-10.922,-6.144,+8
wide_resnet50_2.tv2_in1k,224,70.840,29.160,89.170,10.830,68.88,0.965,bilinear,-10.772,-6.596,+18
nest_tiny_jx.goog_in1k,224,70.830,29.170,89.770,10.230,17.06,0.875,bicubic,-10.598,-5.672,+48
vit_base_patch16_rpn_224.sw_in1k,224,70.830,29.170,89.760,10.240,86.54,0.900,bicubic,-11.388,-6.236,-64
resnet101.a2_in1k,288,70.820,29.180,89.250,10.750,44.55,1.000,bicubic,-11.398,-6.490,-65
lamhalobotnet50ts_256.a1h_in1k,256,70.790,29.210,89.000,11.000,22.57,0.950,bicubic,-10.762,-6.510,+20
tresnet_m.miil_in1k_448,448,70.780,29.220,88.690,11.310,31.39,0.875,bilinear,-10.930,-6.872,+3
resnetrs101.tf_in1k,288,70.770,29.230,89.690,10.310,63.62,0.940,bicubic,-11.518,-6.310,-79
deit3_small_patch16_224.fb_in1k,224,70.770,29.230,89.520,10.480,22.06,0.900,bicubic,-10.612,-6.098,+53
regnetx_080.tv2_in1k,224,70.770,29.230,89.210,10.790,39.57,0.965,bicubic,-10.782,-6.330,+16
convnext_nano.d1h_in1k,288,70.760,29.240,89.390,10.610,15.59,1.000,bicubic,-10.714,-6.280,+30
efficientnet_b3.ra2_in1k,288,70.760,29.240,89.380,10.620,12.23,0.875,bicubic,-10.712,-6.316,+30
resnet152.a2_in1k,224,70.760,29.240,88.540,11.460,60.19,0.950,bicubic,-11.004,-6.730,-5
poolformerv2_m36.sail_in1k,224,70.750,29.250,89.460,10.540,56.08,1.000,bicubic,-11.464,-6.436,-73
seresnet50.ra2_in1k,288,70.740,29.260,89.810,10.190,28.09,0.950,bicubic,-10.548,-5.842,+56
coatnet_nano_rw_224.sw_in1k,224,70.740,29.260,89.610,10.390,15.14,0.900,bicubic,-10.964,-6.040,-4
vit_base_patch32_clip_224.openai_ft_in1k,224,70.730,29.270,89.920,10.080,88.22,0.900,bicubic,-11.214,-6.052,-33
tf_efficientnet_b1.ns_jft_in1k,240,70.720,29.280,89.970,10.030,7.79,0.882,bicubic,-10.668,-5.570,+40
swinv2_cr_tiny_ns_224.sw_in1k,224,70.720,29.280,89.380,10.620,28.33,0.900,bicubic,-11.076,-6.444,-17
wide_resnet50_2.racm_in1k,224,70.720,29.280,89.080,10.920,68.88,0.875,bicubic,-10.746,-6.138,+24
convit_small.fb_in1k,224,70.710,29.290,89.500,10.500,27.78,0.875,bicubic,-10.702,-6.240,+34
resnetv2_101x1_bit.goog_in21k_ft_in1k,448,70.700,29.300,90.960,9.040,44.54,1.000,bilinear,-11.632,-5.564,-103
regnety_032.tv2_in1k,224,70.690,29.310,89.850,10.150,19.44,0.965,bicubic,-11.098,-5.976,-21
mobilenetv3_large_150d.ra4_e3600_r256_in1k,320,70.690,29.310,89.750,10.250,14.62,1.000,bilinear,-11.142,-6.128,-24
swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,224,70.680,29.320,90.490,9.510,28.29,0.900,bicubic,-10.286,-5.530,+92
ecaresnetlight.miil_in1k,288,70.680,29.320,89.850,10.150,30.16,0.950,bicubic,-10.750,-5.940,+25
cs3darknet_x.c2ns_in1k,256,70.680,29.320,89.780,10.220,35.05,0.950,bicubic,-11.176,-5.960,-33
tf_efficientnetv2_b3.in1k,300,70.680,29.320,89.420,10.580,14.36,0.904,bicubic,-11.280,-6.512,-49
vit_small_patch16_rope_ape_224.naver_in1k,224,70.680,29.320,88.470,11.530,22.06,0.900,bicubic,-10.336,-6.518,+90
tresnet_l.miil_in1k,224,70.670,29.330,89.630,10.370,55.99,0.875,bilinear,-10.828,-6.022,+3
levit_384.fb_dist_in1k,224,70.670,29.330,89.290,10.710,39.13,0.900,bicubic,-11.930,-6.730,-157
levit_conv_384.fb_dist_in1k,224,70.670,29.330,89.290,10.710,39.13,0.900,bicubic,-11.930,-6.730,-155
crossvit_small_240.in1k,240,70.660,29.340,89.390,10.610,26.86,0.875,bicubic,-10.376,-6.076,+79
resnet50d.ra4_e3600_r224_in1k,288,70.640,29.360,89.500,10.500,25.58,1.000,bicubic,-11.200,-6.426,-37
vit_small_patch16_224.augreg_in21k_ft_in1k,224,70.630,29.370,90.080,9.920,22.05,0.900,bicubic,-10.772,-6.070,+22
resnet61q.ra2_in1k,256,70.600,29.400,89.810,10.190,36.85,0.900,bicubic,-11.370,-6.038,-59
resnet50_gn.a1h_in1k,288,70.590,29.410,89.470,10.530,25.56,0.950,bicubic,-10.626,-6.164,+47
mobilenetv4_hybrid_medium.ix_e550_r256_in1k,256,70.570,29.430,89.520,10.480,11.07,0.950,bicubic,-10.908,-6.172,+1
vit_small_patch16_rope_mixed_ape_224.naver_in1k,224,70.570,29.430,89.050,10.950,22.06,0.900,bicubic,-10.404,-5.926,+80
resnet152.a1_in1k,224,70.570,29.430,88.420,11.580,60.19,0.950,bicubic,-11.428,-7.468,-68
vit_small_r26_s32_224.augreg_in21k_ft_in1k,224,70.550,29.450,90.030,9.970,36.43,0.900,bicubic,-11.306,-6.054,-51
cait_xxs24_384.fb_dist_in1k,384,70.550,29.450,89.770,10.230,12.03,1.000,bicubic,-10.404,-5.660,+80
mobilevitv2_175.cvnets_in22k_ft_in1k,256,70.550,29.450,89.640,10.360,14.25,0.888,bicubic,-11.400,-6.120,-60
convnextv2_nano.fcmae_ft_in1k,224,70.550,29.450,89.360,10.640,15.62,0.875,bicubic,-11.306,-6.596,-47
resnet51q.ra2_in1k,256,70.540,29.460,89.470,10.530,35.70,0.875,bilinear,-11.234,-6.462,-39
coat_mini.in1k,224,70.530,29.470,89.560,10.440,10.34,0.900,bicubic,-10.790,-5.828,+21
resnet101.tv2_in1k,224,70.530,29.470,89.350,10.650,44.55,0.965,bilinear,-11.376,-6.418,-58
efficientnet_b1.ra4_e3600_r240_in1k,288,70.520,29.480,89.610,10.390,7.79,1.000,bicubic,-10.924,-6.088,+1
gc_efficientnetv2_rw_t.agc_in1k,224,70.510,29.490,89.660,10.340,13.68,1.000,bicubic,-10.766,-5.920,+26
deit_small_distilled_patch16_224.fb_in1k,224,70.510,29.490,89.380,10.620,22.44,0.900,bicubic,-10.694,-5.998,+36
halonet50ts.a1h_in1k,256,70.510,29.490,89.190,10.810,22.73,0.940,bicubic,-11.130,-6.422,-34
vit_relpos_small_patch16_224.sw_in1k,224,70.490,29.510,89.970,10.030,21.98,0.900,bicubic,-10.986,-5.854,-13
legacy_senet154.in1k,224,70.490,29.510,88.960,11.040,115.09,0.875,bilinear,-10.830,-6.542,+15
seresnext101_64x4d.gluon_in1k,224,70.480,29.520,89.180,10.820,88.23,0.875,bicubic,-10.404,-6.128,+80
twins_pcpvt_small.in1k,224,70.470,29.530,89.120,10.880,24.11,0.900,bicubic,-10.646,-6.504,+43
swinv2_tiny_window8_256.ms_in1k,256,70.450,29.550,89.450,10.550,28.35,0.900,bicubic,-11.374,-6.538,-56
resnetv2_50.a1h_in1k,288,70.450,29.550,89.240,10.760,25.55,1.000,bicubic,-10.956,-6.472,0
hgnetv2_b2.ssld_stage1_in22k_in1k,224,70.430,29.570,89.640,10.360,11.22,0.965,bicubic,-10.312,-5.860,+97
twins_svt_small.in1k,224,70.430,29.570,89.390,10.610,24.06,0.900,bicubic,-11.264,-6.280,-46
hgnet_small.paddle_in1k,224,70.420,29.580,89.440,10.560,24.36,0.965,bicubic,-11.006,-6.406,-7
seresnext50_32x4d.racm_in1k,224,70.420,29.580,89.120,10.880,27.56,0.875,bicubic,-10.848,-6.504,+16
poolformerv2_s36.sail_in1k,224,70.410,29.590,89.590,10.410,30.79,1.000,bicubic,-11.166,-6.090,-40
tf_efficientnet_b3.aa_in1k,300,70.410,29.590,89.290,10.710,12.23,0.904,bicubic,-11.238,-6.434,-48
resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,224,70.400,29.600,89.810,10.190,44.18,0.875,bilinear,-10.536,-5.922,+62
regnetz_b16.ra3_in1k,288,70.400,29.600,89.210,10.790,9.72,1.000,bicubic,-10.340,-6.318,+91
resnest50d_1s4x24d.in1k,224,70.400,29.600,89.210,10.790,25.68,0.875,bicubic,-10.624,-6.128,+49
resnet50d.ra2_in1k,288,70.390,29.610,89.300,10.700,25.58,0.950,bicubic,-10.964,-6.258,-4
crossvit_15_240.in1k,240,70.380,29.620,89.500,10.500,27.53,0.875,bicubic,-11.142,-6.194,-40
resnet50.c2_in1k,288,70.380,29.620,89.200,10.800,25.56,1.000,bicubic,-10.482,-6.330,+73
repvit_m1_1.dist_450e_in1k,224,70.370,29.630,89.240,10.760,8.80,0.950,bicubic,-10.944,-6.328,-1
ecaresnet50t.a2_in1k,288,70.360,29.640,89.070,10.930,25.57,1.000,bicubic,-11.322,-6.454,-58
gernet_l.idstcv_in1k,256,70.360,29.640,88.960,11.040,31.08,0.875,bilinear,-10.994,-6.782,-9
senet154.gluon_in1k,224,70.360,29.640,88.900,11.100,115.09,0.875,bicubic,-10.898,-6.458,+5
vit_small_patch16_rope_224.naver_in1k,224,70.350,29.650,88.680,11.320,21.98,0.900,bicubic,-10.872,-6.340,+9
fbnetv3_g.ra2_in1k,240,70.330,29.670,89.600,10.400,16.62,0.950,bilinear,-10.916,-6.086,+3
convnext_nano_ols.d1h_in1k,288,70.330,29.670,88.980,11.020,15.65,1.000,bicubic,-11.282,-6.646,-54
tf_efficientnet_lite4.in1k,380,70.320,29.680,89.200,10.800,13.01,0.920,bilinear,-11.220,-6.468,-50
gcresnext50ts.ch_in1k,288,70.280,29.720,89.240,10.760,15.67,1.000,bicubic,-10.962,-6.296,+2
cs3sedarknet_l.c2ns_in1k,256,70.270,29.730,89.800,10.200,21.91,0.887,bicubic,-10.938,-5.998,+7
resnest50d.in1k,224,70.260,29.740,88.630,11.370,27.48,0.875,bilinear,-10.698,-6.742,+41
convnext_nano.d1h_in1k,224,70.260,29.740,88.450,11.550,15.59,0.950,bicubic,-10.502,-6.882,+73
efficientnetv2_rw_t.ra2_in1k,224,70.250,29.750,89.670,10.330,13.65,1.000,bicubic,-11.120,-5.880,-21
sebotnet33ts_256.a1h_in1k,256,70.250,29.750,88.660,11.340,13.70,0.940,bicubic,-10.906,-6.500,+9
resnetaa50.a1h_in1k,288,70.200,29.800,89.870,10.130,25.56,1.000,bicubic,-11.418,-5.924,-66
gcresnet50t.ra2_in1k,288,70.200,29.800,89.520,10.480,25.90,1.000,bicubic,-11.258,-6.204,-38
mambaout_kobe.in1k,288,70.190,29.810,89.380,10.620,9.14,1.000,bicubic,-10.874,-6.302,+22
tnt_s_patch16_224.in1k,224,70.170,29.830,89.510,10.490,23.77,0.900,bicubic,-11.336,-6.256,-55
resnet152s.gluon_in1k,224,70.170,29.830,88.860,11.140,60.32,0.875,bicubic,-10.878,-6.582,+23
vit_srelpos_small_patch16_224.sw_in1k,224,70.160,29.840,89.520,10.480,21.97,0.900,bicubic,-10.948,-6.060,+13
cs3darknet_l.c2ns_in1k,288,70.150,29.850,89.600,10.400,21.16,0.950,bicubic,-10.732,-6.062,+43
mobilenetv4_hybrid_medium.e500_r224_in1k,256,70.150,29.850,89.440,10.560,11.07,1.000,bicubic,-11.134,-6.306,-18
xception41p.ra3_in1k,299,70.150,29.850,89.150,10.850,26.91,0.940,bicubic,-11.828,-6.634,-114
swiftformer_l1.dist_in1k,224,70.150,29.850,88.920,11.080,12.06,0.950,bicubic,-10.756,-6.334,+37
efficientnet_el.ra_in1k,300,70.100,29.900,89.180,10.820,10.59,0.904,bicubic,-11.208,-6.358,-24
resmlp_36_224.fb_distilled_in1k,224,70.100,29.900,89.060,10.940,44.69,0.875,bicubic,-11.050,-6.448,-3
resnet50.d_in1k,288,70.090,29.910,88.580,11.420,25.56,1.000,bicubic,-10.922,-6.876,+20
seresnet50.a2_in1k,288,70.080,29.920,88.700,11.300,28.09,1.000,bicubic,-11.014,-6.530,+7
resnet101.a1_in1k,224,70.080,29.920,88.570,11.430,44.55,0.950,bicubic,-11.414,-6.594,-61
resnetv2_50d_evos.ah_in1k,224,70.070,29.930,89.070,10.930,25.59,0.950,bicubic,-10.758,-6.200,+45
poolformer_s36.sail_in1k,224,70.060,29.940,89.170,10.830,30.86,0.900,bicubic,-11.368,-6.460,-47
mobilenetv4_conv_medium.e500_r256_in1k,320,70.050,29.950,89.480,10.520,9.72,1.000,bicubic,-10.840,-6.270,+31
repvgg_b3.rvgg_in1k,224,70.020,29.980,88.640,11.360,123.09,0.875,bilinear,-10.508,-6.688,+83
fasternet_s.in1k,224,70.010,29.990,89.070,10.930,31.18,1.000,bicubic,-11.318,-6.608,-38
inception_resnet_v2.tf_in1k,299,70.010,29.990,88.640,11.360,55.84,0.897,bicubic,-10.424,-6.672,+98
edgenext_small.usi_in1k,256,70.000,30.000,89.230,10.770,5.59,0.950,bicubic,-11.068,-6.100,+1
haloregnetz_b.ra3_in1k,224,70.000,30.000,88.830,11.170,11.68,0.940,bicubic,-11.058,-6.366,+5
levit_256.fb_dist_in1k,224,69.980,30.020,89.170,10.830,18.89,0.900,bicubic,-11.526,-6.296,-75
levit_conv_256.fb_dist_in1k,224,69.980,30.020,89.170,10.830,18.89,0.900,bicubic,-11.526,-6.296,-73
resnet50.c1_in1k,288,69.950,30.050,88.920,11.080,25.56,1.000,bicubic,-10.978,-6.634,+18
regnety_320.pycls_in1k,224,69.950,30.050,88.750,11.250,145.05,0.875,bicubic,-10.846,-6.496,+41
ecaresnet50t.a1_in1k,224,69.920,30.080,88.650,11.350,25.57,0.950,bicubic,-11.362,-6.500,-37
resnet50d.a1_in1k,288,69.920,30.080,88.330,11.670,25.58,1.000,bicubic,-11.546,-7.348,-67
seresnext101_32x4d.gluon_in1k,224,69.910,30.090,88.880,11.120,48.96,0.875,bicubic,-10.976,-6.388,+20
resnext50_32x4d.ra_in1k,288,69.890,30.110,88.410,11.590,25.03,0.950,bicubic,-10.830,-6.934,+46
mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k,256,69.880,30.120,88.920,11.080,8.46,0.950,bicubic,-10.804,-6.522,+51
fastvit_s12.apple_dist_in1k,256,69.860,30.140,88.700,11.300,9.47,0.900,bicubic,-11.214,-6.578,-10
resnet101.a2_in1k,224,69.860,30.140,88.270,11.730,44.55,0.950,bicubic,-11.484,-6.928,-52
ecaresnet50d_pruned.miil_in1k,288,69.850,30.150,89.590,10.410,19.94,0.950,bicubic,-10.958,-5.976,+31
ese_vovnet39b.ra_in1k,288,69.850,30.150,89.540,10.460,24.57,0.950,bicubic,-10.528,-5.820,+94
ecaresnet50t.ra2_in1k,256,69.820,30.180,89.390,10.610,25.57,0.875,bicubic,-11.630,-6.288,-72
resnet152d.gluon_in1k,224,69.810,30.190,88.480,11.520,60.21,0.875,bicubic,-10.666,-7.114,+69
seresnet50.a1_in1k,288,69.810,30.190,88.450,11.550,28.09,1.000,bicubic,-11.304,-6.886,-20
pit_s_224.in1k,224,69.800,30.200,88.850,11.150,23.46,0.900,bicubic,-11.314,-6.788,-23
regnety_016.tv2_in1k,224,69.790,30.210,89.350,10.650,11.20,0.965,bicubic,-10.878,-5.986,+44
resnetaa50.a1h_in1k,224,69.780,30.220,88.770,11.230,25.56,0.950,bicubic,-10.834,-6.442,+50
sehalonet33ts.ra2_in1k,256,69.770,30.230,88.580,11.420,13.69,0.940,bicubic,-11.206,-6.692,-8
ecaresnet101d_pruned.miil_in1k,224,69.760,30.240,89.390,10.610,24.88,0.875,bicubic,-11.050,-6.252,+21
mobilevitv2_150.cvnets_in22k_ft_in1k,256,69.760,30.240,89.060,10.940,10.59,0.888,bicubic,-11.706,-6.484,-85
maxvit_rmlp_pico_rw_256.sw_in1k,256,69.740,30.260,89.130,10.870,7.52,0.950,bicubic,-10.810,-6.056,+49
xcit_tiny_24_p16_224.fb_dist_in1k,224,69.740,30.260,88.700,11.300,12.12,1.000,bicubic,-10.722,-6.502,+66
resnext50_32x4d.a1_in1k,288,69.730,30.270,88.360,11.640,25.03,1.000,bicubic,-11.750,-6.792,-93
resnet50d.ra4_e3600_r224_in1k,224,69.720,30.280,88.860,11.140,25.58,0.950,bicubic,-11.236,-6.520,-11
resnext50_32x4d.a2_in1k,288,69.720,30.280,88.260,11.740,25.03,1.000,bicubic,-11.584,-6.854,-61
mobilevitv2_200.cvnets_in1k,256,69.700,30.300,88.450,11.550,18.45,0.888,bicubic,-11.448,-6.930,-41
resnet50.a1_in1k,288,69.690,30.310,88.270,11.730,25.56,1.000,bicubic,-11.550,-6.842,-54
tresnet_m.miil_in1k,224,69.680,30.320,87.940,12.060,31.39,0.875,bilinear,-11.136,-6.922,+10
fastvit_sa12.apple_in1k,256,69.670,30.330,88.920,11.080,11.58,0.900,bicubic,-11.176,-6.426,+6
tiny_vit_5m_224.dist_in22k_ft_in1k,224,69.660,30.340,89.380,10.620,5.39,0.950,bicubic,-11.214,-6.288,0
fastvit_t12.apple_dist_in1k,256,69.650,30.350,88.290,11.710,7.55,0.900,bicubic,-10.714,-6.750,+75
ecaresnet50d.miil_in1k,224,69.640,30.360,89.350,10.650,25.58,0.875,bicubic,-10.994,-5.960,+33
convnextv2_pico.fcmae_ft_in1k,288,69.640,30.360,89.260,10.740,9.07,0.950,bicubic,-11.422,-6.216,-31
mobilenetv3_large_150d.ra4_e3600_r256_in1k,256,69.620,30.380,89.020,10.980,14.62,0.950,bilinear,-11.374,-6.454,-25
resmlp_24_224.fb_distilled_in1k,224,69.620,30.380,89.000,11.000,30.02,0.875,bicubic,-11.146,-6.220,+10
resnext50d_32x4d.bt_in1k,288,69.610,30.390,89.250,10.750,25.05,0.950,bicubic,-11.066,-6.176,+23
resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,224,69.600,30.400,89.290,10.710,25.03,0.875,bilinear,-10.716,-6.096,+74
resnetv2_50d_gn.ah_in1k,224,69.600,30.400,88.890,11.110,25.57,0.950,bicubic,-11.200,-6.466,+4
lambda_resnet50ts.a1h_in1k,256,69.590,30.410,88.820,11.180,21.54,0.950,bicubic,-11.594,-6.274,-58
inception_resnet_v2.tf_ens_adv_in1k,299,69.590,30.410,88.330,11.670,55.84,0.897,bicubic,-10.408,-6.610,+109
gcresnet50t.ra2_in1k,256,69.570,30.430,88.940,11.060,25.90,0.900,bicubic,-11.374,-6.518,-25
resnext50_32x4d.a1h_in1k,224,69.570,30.430,88.580,11.420,25.03,0.950,bicubic,-11.570,-6.740,-53
efficientnet_b3_pruned.in1k,300,69.550,30.450,88.800,11.200,9.86,0.904,bicubic,-11.314,-6.466,-12
gernet_m.idstcv_in1k,224,69.550,30.450,88.590,11.410,21.14,0.875,bilinear,-11.152,-6.596,+14
vit_wee_patch16_reg1_gap_256.sbb_in1k,256,69.520,30.480,89.370,10.630,13.42,0.950,bicubic,-10.742,-5.990,+74
efficientnet_el_pruned.in1k,300,69.520,30.480,88.900,11.100,10.59,0.904,bicubic,-10.764,-6.318,+69
cspresnext50.ra_in1k,256,69.520,30.480,88.710,11.290,20.57,0.887,bilinear,-11.028,-6.620,+27
efficientnet_b1.ra4_e3600_r240_in1k,240,69.510,30.490,89.020,10.980,7.79,0.900,bicubic,-10.894,-6.132,+50
resnet50.tv2_in1k,224,69.510,30.490,88.630,11.370,25.56,0.965,bilinear,-11.336,-6.800,-14
repvgg_b3g4.rvgg_in1k,224,69.510,30.490,88.540,11.460,83.83,0.875,bilinear,-10.714,-6.560,+80
convnext_nano_ols.d1h_in1k,224,69.490,30.510,88.430,11.570,15.65,0.950,bicubic,-11.416,-6.944,-30
resnext101_64x4d.gluon_in1k,224,69.490,30.510,88.270,11.730,83.46,0.875,bicubic,-11.150,-6.730,+14
xcit_tiny_12_p16_384.fb_dist_in1k,384,69.480,30.520,88.980,11.020,6.72,1.000,bicubic,-11.474,-6.658,-39
convmixer_768_32.in1k,224,69.480,30.520,88.940,11.060,21.11,0.960,bicubic,-10.678,-6.130,+81
repvit_m1_1.dist_300e_in1k,224,69.480,30.520,88.700,11.300,8.80,0.950,bicubic,-11.346,-6.474,-17
hgnet_tiny.paddle_in1k,288,69.470,30.530,89.210,10.790,14.74,1.000,bicubic,-11.174,-6.346,+8
gcresnext50ts.ch_in1k,256,69.470,30.530,88.740,11.260,15.67,0.900,bicubic,-11.138,-6.440,+12
rexnet_150.nav_in1k,224,69.460,30.540,88.990,11.010,9.73,0.875,bicubic,-10.862,-5.990,+51
efficientvit_b1.r288_in1k,288,69.460,30.540,88.590,11.410,9.10,1.000,bicubic,-10.862,-6.574,+51
swin_tiny_patch4_window7_224.ms_in1k,224,69.450,30.550,89.020,10.980,28.29,0.900,bicubic,-11.938,-6.736,-109
gcresnet33ts.ra2_in1k,288,69.450,30.550,88.910,11.090,19.88,1.000,bicubic,-11.138,-6.408,+9
res2net101d.in1k,224,69.450,30.550,88.620,11.380,45.23,0.875,bilinear,-11.786,-6.726,-88
regnetx_032.tv2_in1k,224,69.440,30.560,89.130,10.870,15.30,0.965,bicubic,-11.476,-6.118,-43
vit_pwee_patch16_reg1_gap_256.sbb_in1k,256,69.440,30.560,89.080,10.920,15.25,0.950,bicubic,-10.642,-6.058,+76
regnetx_320.pycls_in1k,224,69.440,30.560,88.150,11.850,107.81,0.875,bicubic,-10.818,-6.866,+59
vit_base_patch32_224.augreg_in21k_ft_in1k,224,69.430,30.570,89.270,10.730,88.22,0.900,bicubic,-11.302,-6.304,-16
cs3darknet_l.c2ns_in1k,256,69.420,30.580,88.970,11.030,21.16,0.887,bicubic,-10.930,-6.334,+40
tf_efficientnetv2_b3.in21k_ft_in1k,240,69.390,30.610,89.090,10.910,14.36,0.900,bicubic,-11.688,-6.830,-73
inception_v4.tf_in1k,299,69.390,30.610,88.650,11.350,42.68,0.875,bicubic,-10.754,-6.332,+68
efficientnet_b2.ra_in1k,288,69.390,30.610,88.640,11.360,9.11,1.000,bicubic,-11.222,-6.680,0
eva02_tiny_patch14_336.mim_in22k_ft_in1k,336,69.370,30.630,89.300,10.700,5.76,1.000,bicubic,-11.278,-6.220,-8
nf_resnet50.ra2_in1k,288,69.350,30.650,88.690,11.310,25.56,0.940,bicubic,-11.308,-6.660,-11
xception71.tf_in1k,299,69.350,30.650,88.190,11.810,42.34,0.903,bicubic,-10.570,-6.718,+80
tf_efficientnetv2_b3.in1k,240,69.330,30.670,88.290,11.710,14.36,0.904,bicubic,-11.378,-7.140,-19
ecaresnetlight.miil_in1k,224,69.320,30.680,89.200,10.800,30.16,0.875,bicubic,-11.134,-6.048,+13
dm_nfnet_f0.dm_in1k,192,69.320,30.680,88.740,11.260,71.49,0.900,bicubic,-12.116,-6.932,-133
darknet53.c2ns_in1k,288,69.310,30.690,88.770,11.230,41.61,1.000,bicubic,-11.232,-6.658,-2
gcvit_xxtiny.in1k,224,69.280,30.720,88.840,11.160,12.00,0.875,bicubic,-10.476,-6.218,+104
resnext50_32x4d.tv2_in1k,224,69.280,30.720,88.410,11.590,25.03,0.965,bilinear,-11.910,-6.934,-99
seresnet33ts.ra2_in1k,288,69.260,30.740,89.020,10.980,19.78,1.000,bicubic,-11.554,-6.326,-43
repvit_m1_0.dist_450e_in1k,224,69.260,30.740,88.720,11.280,7.30,0.950,bicubic,-11.170,-6.202,+15
regnetz_b16.ra3_in1k,224,69.260,30.740,88.380,11.620,9.72,0.940,bicubic,-10.604,-6.602,+87
eca_resnet33ts.ra2_in1k,288,69.230,30.770,89.130,10.870,19.68,1.000,bicubic,-11.486,-6.252,-30
resnet50_gn.a1h_in1k,224,69.200,30.800,88.410,11.590,25.56,0.940,bicubic,-10.874,-6.496,+59
cs3darknet_focus_l.c2ns_in1k,288,69.190,30.810,89.330,10.670,21.15,0.950,bicubic,-11.704,-6.344,-64
vit_small_patch16_384.augreg_in1k,384,69.190,30.810,88.840,11.160,22.20,1.000,bicubic,-11.940,-6.750,-99
efficientformer_l1.snap_dist_in1k,224,69.190,30.810,88.480,11.520,12.29,0.950,bicubic,-11.312,-6.512,-7
mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k,224,69.190,30.810,88.090,11.910,8.46,0.900,bicubic,-10.926,-6.904,+53
resnet50.b2k_in1k,288,69.170,30.830,88.490,11.510,25.56,1.000,bicubic,-11.296,-6.544,-5
resnet50d.ra2_in1k,224,69.170,30.830,88.130,11.870,25.58,0.875,bicubic,-11.376,-7.030,-15
edgenext_small_rw.sw_in1k,320,69.140,30.860,88.790,11.210,7.83,1.000,bicubic,-11.312,-6.416,-1
mobilenetv4_hybrid_medium.e500_r224_in1k,224,69.130,30.870,88.820,11.180,11.07,0.950,bicubic,-11.302,-6.558,0
repvit_m2.dist_in1k,224,69.130,30.870,88.570,11.430,8.80,0.950,bicubic,-11.338,-6.602,-9
wide_resnet50_2.tv2_in1k,176,69.130,30.870,88.070,11.930,68.88,0.875,bilinear,-11.312,-7.006,0
mobilenetv4_conv_blur_medium.e500_r224_in1k,256,69.120,30.880,89.140,10.860,9.72,1.000,bicubic,-11.032,-6.158,+40
mobilevitv2_175.cvnets_in1k,256,69.110,30.890,88.890,11.110,14.25,0.888,bicubic,-11.760,-6.390,-65
mambaout_femto.in1k,288,69.090,30.910,88.650,11.350,7.30,1.000,bicubic,-10.822,-6.484,+60
tf_efficientnetv2_b2.in1k,260,69.090,30.910,88.140,11.860,10.10,0.890,bicubic,-11.136,-6.870,+31
mixnet_xl.ra_in1k,224,69.080,30.920,88.360,11.640,11.90,0.875,bicubic,-11.414,-6.618,-18
poolformerv2_s24.sail_in1k,224,69.070,30.930,88.540,11.460,21.34,1.000,bicubic,-11.676,-6.778,-53
legacy_seresnext101_32x4d.in1k,224,69.060,30.940,88.100,11.900,48.96,0.875,bilinear,-11.214,-6.932,+18
resnet50d.a2_in1k,288,69.030,30.970,87.960,12.040,25.58,1.000,bicubic,-12.134,-7.140,-120
resnet50.c2_in1k,224,69.010,30.990,88.120,11.880,25.56,0.950,bicubic,-10.858,-6.742,+63
mobilenetv4_conv_medium.e500_r256_in1k,256,69.000,31.000,88.780,11.220,9.72,0.950,bicubic,-10.916,-6.384,+49
mobilevitv2_150.cvnets_in1k,256,69.000,31.000,88.020,11.980,10.59,0.888,bicubic,-11.380,-7.086,0
resnetblur50.bt_in1k,288,68.990,31.010,88.400,11.600,25.56,0.950,bicubic,-11.258,-6.800,+19
resnetrs101.tf_in1k,192,68.980,31.020,88.270,11.730,63.62,0.940,bicubic,-11.726,-6.970,-51
vit_base_patch16_384.augreg_in1k,384,68.970,31.030,88.350,11.650,86.86,1.000,bicubic,-12.132,-6.984,-114
regnety_120.pycls_in1k,224,68.970,31.030,88.180,11.820,51.82,0.875,bicubic,-11.412,-6.924,-7
resnet152c.gluon_in1k,224,68.970,31.030,87.640,12.360,60.21,0.875,bicubic,-10.934,-7.214,+49
vit_small_patch32_384.augreg_in21k_ft_in1k,384,68.950,31.050,89.650,10.350,22.92,1.000,bicubic,-11.526,-5.544,-29
seresnet33ts.ra2_in1k,256,68.950,31.050,88.350,11.650,19.78,0.900,bicubic,-11.430,-6.700,-9
cs3darknet_focus_l.c2ns_in1k,256,68.930,31.070,88.830,11.170,21.15,0.887,bicubic,-11.324,-6.464,+11
resnet50.b1k_in1k,288,68.910,31.090,88.490,11.510,25.56,1.000,bicubic,-11.798,-6.688,-60
resnet50d.a1_in1k,224,68.910,31.090,87.980,12.020,25.58,0.950,bicubic,-11.820,-6.698,-64
convnextv2_pico.fcmae_ft_in1k,224,68.900,31.100,88.450,11.550,9.07,0.875,bicubic,-11.404,-6.632,-4
resnetv2_34d.ra4_e3600_r384_in1k,448,68.890,31.110,88.800,11.200,21.82,1.000,bicubic,-11.540,-6.482,-22
convnext_pico_ols.d1_in1k,288,68.890,31.110,88.700,11.300,9.06,1.000,bicubic,-11.568,-6.548,-30
resnet50.a1h_in1k,224,68.880,31.120,88.310,11.690,25.56,1.000,bicubic,-11.774,-7.002,-58
resnext101_32x4d.gluon_in1k,224,68.880,31.120,88.280,11.720,44.18,0.875,bicubic,-11.456,-6.628,-11
hgnetv2_b1.ssld_stage2_ft_in1k,288,68.870,31.130,89.080,10.920,6.34,1.000,bicubic,-11.046,-6.108,+34
resnetv2_50.a1h_in1k,224,68.870,31.130,88.430,11.570,25.55,0.950,bicubic,-11.540,-6.652,-25
hrnet_w64.ms_in1k,224,68.870,31.130,88.120,11.880,128.06,0.875,bilinear,-10.588,-6.526,+92
ecaresnet50t.a2_in1k,224,68.870,31.130,88.090,11.910,25.57,0.950,bicubic,-12.014,-6.932,-97
cspdarknet53.ra_in1k,256,68.860,31.140,88.590,11.410,27.64,0.887,bilinear,-11.218,-6.470,+17
gcresnet33ts.ra2_in1k,256,68.850,31.150,88.520,11.480,19.88,0.900,bicubic,-11.222,-6.466,+19
seresnet50.ra2_in1k,224,68.830,31.170,88.600,11.400,28.09,0.875,bicubic,-11.430,-6.468,-5
poolformer_s24.sail_in1k,224,68.800,31.200,88.250,11.750,21.39,0.900,bicubic,-11.494,-6.810,-14
eca_resnet33ts.ra2_in1k,256,68.790,31.210,88.510,11.490,19.68,0.900,bicubic,-11.294,-6.470,+11
resnet101d.gluon_in1k,224,68.790,31.210,88.100,11.900,44.57,0.875,bicubic,-11.676,-7.206,-45
resnet152.gluon_in1k,224,68.790,31.210,87.590,12.410,60.19,0.875,bicubic,-10.922,-7.130,+58
mobilenetv4_conv_medium.e500_r224_in1k,256,68.780,31.220,88.870,11.130,9.72,1.000,bicubic,-11.056,-6.322,+41
convnext_pico.d1_in1k,288,68.770,31.230,88.370,11.630,9.05,0.950,bicubic,-11.656,-6.692,-37
tf_efficientnet_b2.ap_in1k,260,68.770,31.230,88.320,11.680,9.11,0.890,bicubic,-11.530,-6.712,-20
xception65.tf_in1k,299,68.770,31.230,88.250,11.750,39.92,0.903,bicubic,-10.788,-6.406,+69
resnet50.a2_in1k,288,68.760,31.240,87.950,12.050,25.56,1.000,bicubic,-12.014,-7.028,-92
repvgg_b2g4.rvgg_in1k,224,68.750,31.250,88.250,11.750,61.76,0.875,bilinear,-10.646,-6.430,+83
wide_resnet101_2.tv2_in1k,176,68.750,31.250,87.600,12.400,126.89,0.875,bilinear,-11.744,-7.338,-58
seresnet50.a1_in1k,224,68.730,31.270,87.500,12.500,28.09,0.950,bicubic,-11.282,-7.204,+8
resnext50_32x4d.a2_in1k,224,68.730,31.270,87.380,12.620,25.03,0.950,bicubic,-11.714,-7.250,-49
resnet101s.gluon_in1k,224,68.720,31.280,87.720,12.280,44.67,0.875,bicubic,-11.558,-7.440,-23
resnext50d_32x4d.bt_in1k,224,68.710,31.290,88.220,11.780,25.05,0.875,bicubic,-10.962,-6.658,+52
regnety_160.pycls_in1k,224,68.700,31.300,88.190,11.810,83.59,0.875,bicubic,-11.584,-6.792,-27
nf_resnet50.ra2_in1k,256,68.690,31.310,88.430,11.570,25.56,0.940,bicubic,-11.546,-6.674,-17
seresnet50.a2_in1k,224,68.690,31.310,87.490,12.510,28.09,0.950,bicubic,-11.412,-7.230,-5
resnetv2_34d.ra4_e3600_r224_in1k,288,68.680,31.320,88.240,11.760,21.82,1.000,bicubic,-10.934,-6.520,+52
dpn131.mx_in1k,224,68.670,31.330,87.390,12.610,79.25,0.875,bicubic,-11.166,-7.218,+27
resnet152.a3_in1k,224,68.650,31.350,87.690,12.310,60.19,0.950,bicubic,-11.898,-7.314,-75
mambaout_kobe.in1k,224,68.640,31.360,88.300,11.700,9.14,1.000,bicubic,-11.346,-6.682,+1
hgnet_tiny.paddle_in1k,224,68.640,31.360,88.220,11.780,14.74,0.965,bicubic,-11.252,-6.834,+13
resnet50.c1_in1k,224,68.640,31.360,87.770,12.230,25.56,0.950,bicubic,-11.126,-7.184,+30
repvit_m1_0.dist_300e_in1k,224,68.630,31.370,88.020,11.980,7.30,0.950,bicubic,-11.522,-6.750,-16
gmlp_s16_224.ra3_in1k,224,68.600,31.400,87.950,12.050,19.42,0.875,bicubic,-11.052,-6.674,+44
xcit_tiny_12_p8_224.fb_in1k,224,68.590,31.410,88.690,11.310,6.71,1.000,bicubic,-11.120,-6.128,+35
efficientnet_b0.ra4_e3600_r224_in1k,256,68.590,31.410,87.890,12.110,5.29,1.000,bicubic,-10.774,-6.864,+71
seresnext50_32x4d.gluon_in1k,224,68.560,31.440,88.150,11.850,27.56,0.875,bicubic,-11.356,-6.666,0
dpn107.mx_in1k,224,68.560,31.440,88.090,11.910,86.92,0.875,bicubic,-11.606,-6.842,-24
regnetx_160.pycls_in1k,224,68.550,31.450,88.250,11.750,54.28,0.875,bicubic,-11.294,-6.602,+14
deit_small_patch16_224.fb_in1k,224,68.530,31.470,88.170,11.830,22.05,0.900,bicubic,-11.326,-6.886,+12
resnet50.d_in1k,224,68.530,31.470,87.650,12.350,25.56,0.950,bicubic,-11.374,-7.188,+1
resnet152.tv2_in1k,176,68.520,31.480,87.720,12.280,60.19,0.875,bilinear,-11.702,-6.930,-30
resnet50.ram_in1k,288,68.510,31.490,88.430,11.570,25.56,0.950,bicubic,-11.472,-6.608,-12
regnety_080.pycls_in1k,224,68.510,31.490,87.970,12.030,39.18,0.875,bicubic,-11.364,-6.864,+3
skresnext50_32x4d.ra_in1k,224,68.470,31.530,87.620,12.380,27.48,0.875,bicubic,-11.698,-7.024,-32
resnet50.a1_in1k,224,68.470,31.530,87.590,12.410,25.56,0.950,bicubic,-11.912,-7.008,-64
resnext50_32x4d.a1_in1k,224,68.470,31.530,87.380,12.620,25.03,0.950,bicubic,-12.056,-7.078,-87
resnext50_32x4d.ra_in1k,224,68.450,31.550,87.560,12.440,25.03,0.875,bicubic,-11.350,-7.048,+11
tf_efficientnet_b2.aa_in1k,260,68.440,31.560,88.040,11.960,9.11,0.890,bicubic,-11.634,-6.918,-24
resnet101.a3_in1k,224,68.440,31.560,87.430,12.570,44.55,0.950,bicubic,-11.396,-7.278,+6
darknetaa53.c2ns_in1k,288,68.430,31.570,88.680,11.320,36.02,1.000,bilinear,-12.098,-6.574,-94
dla102x2.in1k,224,68.410,31.590,87.800,12.200,41.28,0.875,bilinear,-11.038,-6.854,+44
cspresnet50.ra_in1k,256,68.400,31.600,87.940,12.060,21.62,0.887,bilinear,-11.178,-6.758,+30
fbnetv3_d.ra2_in1k,256,68.390,31.610,88.420,11.580,10.31,0.950,bilinear,-11.292,-6.532,+18
res2net50d.in1k,224,68.390,31.610,88.020,11.980,25.72,0.875,bilinear,-11.890,-7.008,-56
darknet53.c2ns_in1k,256,68.390,31.610,88.000,12.000,41.61,0.887,bicubic,-11.618,-7.046,-27
tf_efficientnet_b3.in1k,300,68.380,31.620,88.600,11.400,12.23,0.904,bicubic,-12.498,-6.708,-149
xcit_tiny_24_p16_224.fb_in1k,224,68.380,31.620,88.100,11.900,12.12,1.000,bicubic,-11.094,-6.778,+37
rexnet_130.nav_in1k,224,68.380,31.620,87.970,12.030,7.56,0.875,bicubic,-11.112,-6.710,+35
cait_xxs36_224.fb_dist_in1k,224,68.370,31.630,88.600,11.400,17.30,1.000,bicubic,-11.380,-6.266,+5
vit_base_patch16_224.sam_in1k,224,68.370,31.630,87.670,12.330,86.57,0.900,bicubic,-11.876,-7.452,-53
efficientvit_b1.r256_in1k,256,68.360,31.640,87.940,12.060,9.10,1.000,bicubic,-11.374,-6.846,+4
regnety_064.pycls_in1k,224,68.350,31.650,88.020,11.980,30.58,0.875,bicubic,-11.384,-6.748,+4
resnet50.fb_ssl_yfcc100m_ft_in1k,224,68.330,31.670,88.560,11.440,25.56,0.875,bilinear,-10.922,-6.266,+63
hgnetv2_b1.ssld_stage1_in22k_in1k,288,68.310,31.690,88.840,11.160,6.34,1.000,bicubic,-10.740,-6.050,+83
resnet50d.a2_in1k,224,68.310,31.690,87.290,12.710,25.58,0.950,bicubic,-11.958,-7.352,-65
dpn98.mx_in1k,224,68.300,31.700,87.560,12.440,61.57,0.875,bicubic,-11.364,-7.084,+9
mobilenetv4_conv_blur_medium.e500_r224_in1k,224,68.290,31.710,88.340,11.660,9.72,0.950,bicubic,-11.156,-6.150,+29
resmlp_big_24_224.fb_in1k,224,68.280,31.720,87.690,12.310,129.14,0.875,bicubic,-12.754,-7.336,-183
fastvit_s12.apple_in1k,256,68.260,31.740,87.840,12.160,9.47,0.900,bicubic,-11.622,-6.958,-25
ecaresnet26t.ra2_in1k,320,68.250,31.750,88.640,11.360,16.01,0.950,bicubic,-11.650,-6.430,-28
ese_vovnet39b.ra_in1k,224,68.250,31.750,88.210,11.790,24.57,0.875,bicubic,-11.062,-6.512,+43
resnext50_32x4d.gluon_in1k,224,68.240,31.760,87.400,12.600,25.03,0.875,bicubic,-11.114,-7.024,+36
regnetx_120.pycls_in1k,224,68.230,31.770,87.560,12.440,46.11,0.875,bicubic,-11.378,-7.174,+7
efficientnet_b2_pruned.in1k,260,68.220,31.780,88.100,11.900,8.31,0.890,bicubic,-11.684,-6.566,-35
resnet50.ra_in1k,288,68.220,31.780,87.940,12.060,25.56,0.950,bicubic,-11.644,-7.030,-26
efficientformerv2_s1.snap_dist_in1k,224,68.180,31.820,88.200,11.800,6.19,0.950,bicubic,-11.504,-6.512,-5
ecaresnet50d_pruned.miil_in1k,224,68.170,31.830,88.350,11.650,19.94,0.875,bicubic,-11.544,-6.512,-10
efficientnet_b2.ra_in1k,256,68.160,31.840,87.750,12.250,9.11,0.875,bicubic,-11.164,-6.832,+34
mobileone_s4.apple_in1k,224,68.150,31.850,87.100,12.900,14.95,0.900,bilinear,-11.296,-7.820,+18
resnetv2_34.ra4_e3600_r224_in1k,288,68.140,31.860,87.920,12.080,21.80,1.000,bicubic,-10.930,-6.640,+62
pit_xs_distilled_224.in1k,224,68.130,31.870,87.820,12.180,11.00,0.900,bicubic,-11.042,-6.530,+52
tf_efficientnet_el.in1k,300,68.110,31.890,88.000,12.000,10.59,0.904,bicubic,-12.136,-6.764,-76
tiny_vit_5m_224.in1k,224,68.060,31.940,87.660,12.340,5.39,0.950,bicubic,-11.136,-7.132,+48
fbnetv3_b.ra2_in1k,256,68.050,31.950,87.900,12.100,8.60,0.950,bilinear,-11.104,-6.208,+50
resmlp_36_224.fb_in1k,224,68.040,31.960,88.170,11.830,44.69,0.875,bicubic,-11.732,-6.718,-25
resnet50.tv2_in1k,176,68.030,31.970,87.360,12.640,25.56,0.875,bilinear,-11.404,-7.280,+13
fastvit_t12.apple_in1k,256,68.020,31.980,87.700,12.300,7.55,0.900,bicubic,-11.256,-6.870,+32
convnext_pico_ols.d1_in1k,224,68.000,32.000,87.890,12.110,9.06,0.950,bicubic,-11.542,-6.698,-2
convnext_pico.d1_in1k,224,67.990,32.010,87.730,12.270,9.05,0.875,bicubic,-11.526,-6.824,+1
dpn68b.ra_in1k,288,67.990,32.010,87.280,12.720,12.61,1.000,bicubic,-11.352,-7.150,+20
regnetx_080.pycls_in1k,224,67.980,32.020,87.060,12.940,39.57,0.875,bicubic,-11.234,-7.482,+38
resnetv2_34d.ra4_e3600_r384_in1k,384,67.970,32.030,88.200,11.800,21.82,1.000,bicubic,-11.822,-6.702,-33
edgenext_small_rw.sw_in1k,256,67.960,32.040,88.310,11.690,7.83,0.900,bicubic,-11.636,-6.208,-12
resnet50d.gluon_in1k,224,67.950,32.050,86.930,13.070,25.58,0.875,bicubic,-11.130,-7.528,+46
regnetx_016.tv2_in1k,224,67.930,32.070,88.130,11.870,9.19,0.965,bicubic,-11.510,-6.638,+3
tf_efficientnet_lite3.in1k,300,67.930,32.070,87.700,12.300,8.20,0.904,bilinear,-11.878,-7.208,-39
resnetrs50.tf_in1k,224,67.920,32.080,87.640,12.360,35.69,0.910,bicubic,-12.014,-7.332,-65
tf_efficientnetv2_b2.in1k,208,67.910,32.090,87.010,12.990,10.10,0.890,bicubic,-11.298,-7.592,+32
legacy_seresnext50_32x4d.in1k,224,67.900,32.100,87.620,12.380,27.56,0.875,bilinear,-11.180,-6.808,+42
resnetv2_50x1_bit.goog_in21k_ft_in1k,448,67.890,32.110,89.100,10.900,25.55,1.000,bilinear,-12.496,-6.594,-121
resnet34.ra4_e3600_r224_in1k,288,67.890,32.110,87.780,12.220,21.80,1.000,bicubic,-11.082,-6.674,+50
hgnetv2_b1.ssld_stage2_ft_in1k,224,67.870,32.130,88.010,11.990,6.34,0.965,bicubic,-11.014,-6.474,+59
levit_192.fb_dist_in1k,224,67.870,32.130,87.900,12.100,10.95,0.900,bicubic,-11.988,-6.908,-53
nf_regnet_b1.ra2_in1k,288,67.860,32.140,87.990,12.010,10.22,0.900,bicubic,-11.508,-6.736,+1
tf_efficientnetv2_b1.in1k,240,67.860,32.140,87.670,12.330,8.14,0.882,bicubic,-11.658,-6.912,-17
resnet50.b2k_in1k,224,67.860,32.140,87.320,12.680,25.56,0.950,bicubic,-11.528,-7.356,-4
levit_conv_192.fb_dist_in1k,224,67.850,32.150,87.890,12.110,10.95,0.900,bicubic,-12.010,-6.912,-58
efficientvit_b1.r224_in1k,224,67.850,32.150,87.260,12.740,9.10,0.950,bicubic,-11.404,-7.040,+17
repvit_m0_9.dist_450e_in1k,224,67.830,32.170,87.670,12.330,5.49,0.950,bicubic,-11.228,-6.718,+36
eca_botnext26ts_256.c1_in1k,256,67.830,32.170,86.970,13.030,10.59,0.950,bicubic,-11.432,-7.630,+11
resnet101.tv2_in1k,176,67.820,32.180,87.350,12.650,44.55,0.875,bilinear,-12.088,-7.256,-73
resnet50.a2_in1k,224,67.810,32.190,86.870,13.130,25.56,0.950,bicubic,-12.018,-7.690,-56
hrnet_w48.ms_in1k,224,67.800,32.200,87.340,12.660,77.47,0.875,bilinear,-11.528,-7.176,-3
resnet50.b1k_in1k,224,67.800,32.200,87.340,12.660,25.56,0.950,bicubic,-11.764,-7.282,-30
resnet50.bt_in1k,288,67.750,32.250,87.890,12.110,25.56,0.950,bicubic,-11.902,-7.018,-40
resnext101_32x8d.tv_in1k,224,67.750,32.250,87.350,12.650,88.79,0.875,bilinear,-11.558,-7.180,0
tf_efficientnet_b0.ns_jft_in1k,224,67.740,32.260,87.950,12.050,5.29,0.875,bicubic,-10.940,-6.422,+65
coat_lite_mini.in1k,224,67.740,32.260,87.790,12.210,11.01,0.900,bicubic,-11.364,-6.816,+21
hrnet_w44.ms_in1k,224,67.710,32.290,87.510,12.490,67.06,0.875,bilinear,-11.180,-6.866,+41
darknetaa53.c2ns_in1k,256,67.700,32.300,88.030,11.970,36.02,0.887,bilinear,-12.054,-6.874,-58
lambda_resnet26t.c1_in1k,256,67.700,32.300,87.730,12.270,10.96,0.940,bicubic,-11.426,-6.824,+15
resmlp_24_224.fb_in1k,224,67.700,32.300,87.570,12.430,30.02,0.875,bicubic,-11.680,-6.980,-16
ecaresnet50t.a3_in1k,224,67.680,32.320,87.520,12.480,25.57,0.950,bicubic,-11.868,-7.190,-38
halonet26t.a1h_in1k,256,67.680,32.320,87.320,12.680,12.48,0.950,bicubic,-11.454,-7.020,+12
efficientnet_em.ra2_in1k,240,67.660,32.340,88.210,11.790,6.90,0.882,bicubic,-11.596,-6.318,-2
regnetx_064.pycls_in1k,224,67.650,32.350,87.470,12.530,26.21,0.875,bicubic,-11.412,-6.998,+17
regnety_040.pycls_in1k,224,67.650,32.350,87.370,12.630,20.65,0.875,bicubic,-11.596,-7.296,0
eca_halonext26ts.c1_in1k,256,67.640,32.360,87.260,12.740,10.76,0.940,bicubic,-11.878,-7.450,-39
dla169.in1k,224,67.620,32.380,87.450,12.550,53.39,0.875,bilinear,-11.082,-6.884,+52
efficientnet_b1.ft_in1k,256,67.610,32.390,87.470,12.530,7.79,1.000,bicubic,-11.196,-6.876,+40
dpn92.mx_in1k,224,67.580,32.420,87.280,12.720,37.67,0.875,bicubic,-12.452,-7.596,-105
resnext50_32x4d.a3_in1k,224,67.580,32.420,86.890,13.110,25.03,0.950,bicubic,-11.678,-7.418,-10
mambaout_femto.in1k,224,67.570,32.430,87.630,12.370,7.30,1.000,bicubic,-11.310,-6.778,+29
convnext_tiny.fb_in22k_ft_in1k,288,67.570,32.430,87.470,12.530,28.59,1.000,bicubic,-11.380,-6.810,+19
resnext50_32x4d.tv2_in1k,176,67.560,32.440,86.720,13.280,25.03,0.875,bilinear,-11.824,-7.582,-32
inception_v3.gluon_in1k,299,67.550,32.450,87.260,12.740,23.83,0.875,bicubic,-11.256,-7.112,+33
legacy_xception.tf_in1k,299,67.540,32.460,87.530,12.470,22.86,0.897,bicubic,-11.518,-6.866,+7
mobilevitv2_125.cvnets_in1k,256,67.540,32.460,87.470,12.530,7.48,0.888,bicubic,-12.142,-7.374,-65
regnety_008_tv.tv2_in1k,224,67.520,32.480,87.890,12.110,6.43,0.965,bicubic,-11.152,-6.490,+45
resnet33ts.ra2_in1k,288,67.510,32.490,87.920,12.080,19.68,1.000,bicubic,-12.200,-7.138,-72
resnetblur50.bt_in1k,224,67.510,32.490,87.480,12.520,25.56,0.875,bicubic,-11.796,-7.058,-25
hrnet_w40.ms_in1k,224,67.510,32.490,87.050,12.950,57.56,0.875,bilinear,-11.418,-7.430,+15
hgnetv2_b1.ssld_stage1_in22k_in1k,224,67.500,32.500,87.870,12.130,6.34,0.965,bicubic,-10.580,-6.302,+95
regnety_032.pycls_in1k,224,67.500,32.500,87.230,12.770,19.44,0.875,bicubic,-11.402,-7.196,+13
tf_efficientnet_b1.ap_in1k,240,67.490,32.510,87.520,12.480,7.79,0.882,bicubic,-11.798,-6.796,-27
legacy_seresnet152.in1k,224,67.490,32.510,87.490,12.510,66.82,0.875,bilinear,-11.172,-6.880,+39
resnet34d.ra2_in1k,288,67.480,32.520,87.880,12.120,21.82,0.950,bicubic,-10.960,-6.468,+62
resnet50.ram_in1k,224,67.460,32.540,87.370,12.630,25.56,0.875,bicubic,-11.574,-7.016,0
resnet32ts.ra2_in1k,288,67.450,32.550,87.490,12.510,17.96,1.000,bicubic,-11.938,-7.090,-48
res2net101_26w_4s.in1k,224,67.420,32.580,87.230,12.770,45.21,0.875,bilinear,-11.772,-7.236,-18
convnext_femto_ols.d1_in1k,288,67.400,32.600,87.320,12.680,5.23,0.950,bicubic,-11.516,-7.214,+5
tf_efficientnet_cc_b1_8e.in1k,240,67.380,32.620,87.290,12.710,39.72,0.882,bicubic,-11.938,-7.094,-40
res2net50_26w_8s.in1k,224,67.380,32.620,87.170,12.830,48.40,0.875,bilinear,-11.570,-7.538,+2
resnet101.gluon_in1k,224,67.360,32.640,87.050,12.950,44.55,0.875,bicubic,-11.946,-7.582,-37
ecaresnet26t.ra2_in1k,256,67.350,32.650,87.730,12.270,16.01,0.875,bicubic,-11.544,-6.818,+4
efficientnet_b0.ra4_e3600_r224_in1k,224,67.340,32.660,87.140,12.860,5.29,0.900,bicubic,-11.228,-7.200,+35
mobilenetv4_conv_medium.e500_r224_in1k,224,67.320,32.680,87.940,12.060,9.72,0.950,bicubic,-11.772,-6.848,-18
resnet101c.gluon_in1k,224,67.310,32.690,87.070,12.930,44.57,0.875,bicubic,-12.232,-7.636,-71
hgnetv2_b0.ssld_stage2_ft_in1k,288,67.290,32.710,87.700,12.300,6.00,1.000,bicubic,-11.300,-6.688,+29
cait_xxs24_224.fb_dist_in1k,224,67.290,32.710,87.510,12.490,11.96,1.000,bicubic,-11.110,-6.816,+52
xception41.tf_in1k,299,67.290,32.710,87.120,12.880,26.97,0.903,bicubic,-11.260,-7.162,+32
vit_relpos_base_patch32_plus_rpn_256.sw_in1k,256,67.270,32.730,86.510,13.490,119.42,0.900,bicubic,-12.238,-7.600,-71
repvit_m0_9.dist_300e_in1k,224,67.260,32.740,87.160,12.840,5.49,0.950,bicubic,-11.392,-6.954,+24
resnet50.a1h_in1k,176,67.250,32.750,87.130,12.870,25.56,0.900,bicubic,-12.014,-7.368,-44
resnet50.ra_in1k,224,67.250,32.750,86.940,13.060,25.56,0.875,bicubic,-11.570,-7.374,+2
nf_regnet_b1.ra2_in1k,256,67.210,32.790,87.220,12.780,10.22,0.900,bicubic,-11.500,-7.160,+13
repghostnet_200.in1k,224,67.200,32.800,87.220,12.780,9.80,0.875,bicubic,-11.602,-7.112,+4
botnet26t_256.c1_in1k,256,67.190,32.810,87.480,12.520,12.49,0.950,bicubic,-12.066,-7.314,-44
regnetx_032.pycls_in1k,224,67.190,32.810,86.930,13.070,15.30,0.875,bicubic,-10.970,-7.234,+62
tf_efficientnet_b2.in1k,260,67.180,32.820,87.510,12.490,9.11,0.890,bicubic,-12.432,-7.204,-91
coat_tiny.in1k,224,67.160,32.840,87.390,12.610,5.50,0.900,bicubic,-11.282,-6.654,+37
convnext_femto.d1_in1k,288,67.150,32.850,87.500,12.500,5.22,0.950,bicubic,-11.562,-6.936,+6
resnet33ts.ra2_in1k,256,67.150,32.850,87.390,12.610,19.68,0.900,bicubic,-12.066,-7.186,-45
legacy_seresnet101.in1k,224,67.150,32.850,87.110,12.890,49.33,0.875,bilinear,-11.220,-6.996,+41
dla60_res2net.in1k,224,67.140,32.860,87.060,12.940,20.85,0.875,bilinear,-11.340,-7.144,+27
starnet_s4.in1k,224,67.140,32.860,86.980,13.020,7.48,0.875,bicubic,-11.684,-7.316,-10
convnextv2_femto.fcmae_ft_in1k,288,67.120,32.880,87.420,12.580,5.23,0.950,bicubic,-12.222,-7.170,-68
resnest26d.gluon_in1k,224,67.120,32.880,87.120,12.880,17.07,0.875,bilinear,-11.356,-7.180,+24
resnet152.a3_in1k,160,67.120,32.880,86.510,13.490,60.19,0.950,bicubic,-11.776,-7.630,-20
shvit_s4.in1k,256,67.090,32.910,87.700,12.300,16.59,0.875,bicubic,-12.272,-6.670,-74
fbnetv3_d.ra2_in1k,224,67.090,32.910,87.650,12.350,10.31,0.950,bilinear,-11.568,-6.804,+6
dla60x.in1k,224,67.060,32.940,87.230,12.770,17.35,0.875,bilinear,-11.174,-6.792,+42
mixnet_l.ft_in1k,224,67.060,32.940,86.770,13.230,7.33,0.875,bicubic,-11.910,-7.410,-31
resnet152.tv_in1k,224,67.040,32.960,87.460,12.540,60.19,0.875,bilinear,-11.290,-6.676,+34
res2net50_26w_6s.in1k,224,67.030,32.970,86.860,13.140,37.05,0.875,bilinear,-11.556,-7.260,+4
dla102x.in1k,224,67.010,32.990,86.730,13.270,26.31,0.875,bilinear,-11.506,-7.496,+10
visformer_tiny.in1k,224,66.980,33.020,86.910,13.090,10.32,0.900,bicubic,-11.180,-7.178,+43
xcit_tiny_12_p16_224.fb_dist_in1k,224,66.970,33.030,87.390,12.610,6.72,1.000,bicubic,-11.602,-6.820,+2
repvgg_b2.rvgg_in1k,224,66.960,33.040,87.270,12.730,89.02,0.875,bilinear,-11.828,-7.144,-17
resnet50s.gluon_in1k,224,66.940,33.060,86.820,13.180,25.68,0.875,bicubic,-11.770,-7.428,-10
pit_xs_224.in1k,224,66.920,33.080,87.200,12.800,10.62,0.900,bicubic,-11.276,-6.956,+37
resnet34.a1_in1k,288,66.920,33.080,86.220,13.780,21.80,1.000,bicubic,-11.010,-7.538,+61
pvt_v2_b1.in1k,224,66.900,33.100,87.370,12.630,14.01,0.900,bicubic,-11.798,-7.120,-11
repvit_m1.dist_in1k,224,66.890,33.110,87.150,12.850,5.49,0.950,bicubic,-11.652,-6.932,+1
fasternet_t2.in1k,224,66.890,33.110,86.860,13.140,14.98,1.000,bicubic,-11.848,-7.472,-19
lambda_resnet26rpt_256.c1_in1k,256,66.840,33.160,87.050,12.950,10.99,0.940,bicubic,-12.120,-7.370,-44
tf_efficientnet_b1.aa_in1k,240,66.830,33.170,86.930,13.070,7.79,0.882,bicubic,-12.010,-7.272,-32
repvgg_b1.rvgg_in1k,224,66.820,33.180,86.720,13.280,57.42,0.875,bilinear,-11.550,-7.544,+17
dpn68b.ra_in1k,224,66.820,33.180,86.540,13.460,12.61,0.950,bicubic,-11.726,-7.556,-4
xcit_nano_12_p8_384.fb_dist_in1k,384,66.800,33.200,87.020,12.980,3.05,1.000,bicubic,-11.010,-6.796,+64
mobilevit_s.cvnets_in1k,256,66.790,33.210,86.920,13.080,5.58,0.900,bicubic,-11.508,-7.248,+18
resnetv2_34d.ra4_e3600_r224_in1k,224,66.780,33.220,86.550,13.450,21.82,0.900,bicubic,-11.490,-7.400,+20
hrnet_w18.ms_aug_in1k,224,66.770,33.230,87.450,12.550,21.30,0.950,bilinear,-11.340,-6.612,+31
resnet50d.a3_in1k,224,66.760,33.240,86.520,13.480,25.58,0.950,bicubic,-11.982,-7.716,-29
fbnetv3_b.ra2_in1k,224,66.740,33.260,86.970,13.030,8.60,0.950,bilinear,-11.444,-7.268,+24
resnet32ts.ra2_in1k,256,66.730,33.270,87.050,12.950,17.96,0.900,bicubic,-12.324,-7.318,-61
dla60_res2next.in1k,224,66.730,33.270,86.900,13.100,17.03,0.875,bilinear,-11.758,-7.100,-9
resnet50.am_in1k,224,66.720,33.280,86.700,13.300,25.56,0.875,bicubic,-12.284,-7.692,-60
efficientnet_es.ra_in1k,224,66.720,33.280,86.650,13.350,5.44,0.875,bicubic,-11.380,-7.278,+27
hrnet_w30.ms_in1k,224,66.710,33.290,86.730,13.270,37.71,0.875,bilinear,-11.492,-7.490,+16
resnet50c.gluon_in1k,224,66.700,33.300,86.090,13.910,25.58,0.875,bicubic,-11.316,-7.862,+32
hrnet_w32.ms_in1k,224,66.690,33.310,87.250,12.750,41.23,0.875,bilinear,-11.762,-6.934,-6
swiftformer_s.dist_in1k,224,66.680,33.320,86.870,13.130,6.09,0.950,bicubic,-11.782,-7.110,-9
tf_mixnet_l.in1k,224,66.680,33.320,86.390,13.610,7.33,0.875,bicubic,-12.094,-7.610,-40
resnet50.bt_in1k,224,66.670,33.330,86.940,13.060,25.56,0.875,bicubic,-11.774,-7.334,-9
seresnext26d_32x4d.bt_in1k,288,66.670,33.330,86.700,13.300,16.81,0.950,bicubic,-12.146,-7.566,-47
regnetx_040.pycls_in1k,224,66.660,33.340,86.540,13.460,22.12,0.875,bicubic,-11.826,-7.544,-18
seresnext26t_32x4d.bt_in1k,288,66.640,33.360,86.790,13.210,16.81,0.950,bicubic,-12.096,-7.528,-41
selecsls60b.in1k,224,66.640,33.360,86.570,13.430,32.77,0.875,bicubic,-11.770,-7.596,-7
hgnetv2_b0.ssld_stage1_in22k_in1k,288,66.630,33.370,87.590,12.410,6.00,1.000,bicubic,-11.408,-6.654,+21
dla102.in1k,224,66.590,33.410,86.940,13.060,33.27,0.875,bilinear,-11.426,-7.054,+22
vit_small_patch16_224.augreg_in1k,224,66.590,33.410,86.840,13.160,22.05,0.900,bicubic,-12.252,-7.440,-57
wide_resnet101_2.tv_in1k,224,66.550,33.450,86.970,13.030,126.89,0.875,bilinear,-12.312,-7.342,-60
tf_efficientnet_b1.in1k,240,66.530,33.470,86.690,13.310,7.79,0.882,bicubic,-12.016,-7.292,-31
tf_efficientnetv2_b0.in1k,224,66.510,33.490,86.610,13.390,7.14,0.875,bicubic,-11.876,-7.424,-11
levit_128.fb_dist_in1k,224,66.480,33.520,86.720,13.280,9.21,0.900,bicubic,-12.006,-7.278,-25
cs3darknet_m.c2ns_in1k,288,66.470,33.530,87.010,12.990,9.31,0.950,bicubic,-11.166,-7.006,+47
levit_conv_128.fb_dist_in1k,224,66.470,33.530,86.720,13.280,9.21,0.900,bicubic,-12.018,-7.424,-30
seresnext26ts.ch_in1k,288,66.420,33.580,86.640,13.360,10.39,1.000,bicubic,-11.872,-7.436,-9
vit_tiny_patch16_384.augreg_in21k_ft_in1k,384,66.410,33.590,87.140,12.860,5.79,1.000,bicubic,-12.028,-7.402,-21
vit_base_patch32_384.augreg_in1k,384,66.410,33.590,86.910,13.090,88.30,1.000,bicubic,-12.340,-7.328,-56
inception_v3.tf_adv_in1k,299,66.400,33.600,86.410,13.590,23.83,0.875,bicubic,-11.198,-7.316,+47
wide_resnet50_2.tv_in1k,224,66.380,33.620,86.750,13.250,68.88,0.875,bilinear,-12.106,-7.502,-33
hrnet_w18_small_v2.gluon_in1k,224,66.340,33.660,86.440,13.560,15.60,0.875,bicubic,-11.862,-7.466,-8
selecsls60.in1k,224,66.340,33.660,86.330,13.670,30.67,0.875,bicubic,-11.634,-7.492,+13
vit_base_patch16_224.augreg_in1k,224,66.340,33.660,86.130,13.870,86.57,0.900,bicubic,-12.814,-8.602,-99
eca_resnext26ts.ch_in1k,288,66.330,33.670,86.430,13.570,10.30,1.000,bicubic,-11.690,-7.502,+5
mobileone_s3.apple_in1k,224,66.330,33.670,86.360,13.640,10.17,0.900,bilinear,-11.672,-7.504,+8
hgnetv2_b0.ssld_stage2_ft_in1k,224,66.310,33.690,86.650,13.350,6.00,0.965,bicubic,-11.052,-7.158,+59
inception_v3.tf_in1k,299,66.300,33.700,86.580,13.420,23.83,0.875,bicubic,-11.566,-7.064,+17
resnetv2_34.ra4_e3600_r224_in1k,224,66.300,33.700,86.550,13.450,21.80,0.900,bicubic,-11.326,-6.968,+36
mobilevitv2_100.cvnets_in1k,256,66.290,33.710,86.830,13.170,4.90,0.888,bicubic,-11.798,-7.340,-5
resmlp_12_224.fb_distilled_in1k,224,66.290,33.710,86.470,13.530,15.35,0.875,bicubic,-11.658,-7.100,+8
hardcorenas_f.miil_green_in1k,224,66.280,33.720,86.240,13.760,8.20,0.875,bilinear,-11.820,-7.560,-8
convnext_femto_ols.d1_in1k,224,66.260,33.740,86.560,13.440,5.23,0.875,bicubic,-11.592,-7.266,+17
bat_resnext26ts.ch_in1k,256,66.250,33.750,86.680,13.320,10.73,0.900,bicubic,-12.030,-7.434,-25
coat_lite_tiny.in1k,224,66.230,33.770,86.960,13.040,5.72,0.900,bicubic,-11.318,-6.964,+36
resnet101.a3_in1k,160,66.160,33.840,85.930,14.070,44.55,0.950,bicubic,-11.768,-7.756,+6
tf_efficientnet_cc_b0_8e.in1k,224,66.150,33.850,86.130,13.870,24.01,0.875,bicubic,-11.806,-7.508,+1
efficientnet_b0.ra_in1k,224,66.150,33.850,86.120,13.880,5.29,0.875,bicubic,-11.548,-7.418,+21
gmixer_24_224.ra3_in1k,224,66.140,33.860,86.030,13.970,24.72,0.875,bicubic,-11.908,-7.624,-11
cs3darknet_focus_m.c2ns_in1k,288,66.130,33.870,86.930,13.070,9.30,0.950,bicubic,-11.156,-7.036,+52
legacy_seresnet50.in1k,224,66.120,33.880,86.280,13.720,28.09,0.875,bilinear,-11.530,-7.452,+20
ghostnetv2_160.in1k,224,66.100,33.900,86.660,13.340,12.39,0.875,bicubic,-11.736,-7.288,+9
densenetblur121d.ra_in1k,288,66.100,33.900,86.580,13.420,8.00,0.950,bicubic,-11.220,-7.216,+46
inception_v3.tv_in1k,299,66.100,33.900,86.140,13.860,23.83,0.875,bicubic,-11.372,-7.328,+34
efficientnet_b1.ft_in1k,224,66.060,33.940,86.530,13.470,7.79,0.875,bicubic,-11.532,-7.106,+22
tf_efficientnet_em.in1k,240,66.060,33.940,86.160,13.840,6.90,0.882,bicubic,-12.068,-7.892,-24
hardcorenas_e.miil_green_in1k,224,66.040,33.960,85.980,14.020,8.07,0.875,bilinear,-11.748,-7.792,+9
res2net50_14w_8s.in1k,224,66.030,33.970,86.120,13.880,25.06,0.875,bilinear,-12.112,-7.732,-28
tinynet_a.in1k,192,66.020,33.980,85.930,14.070,6.19,0.875,bicubic,-11.646,-7.602,+11
resnet26t.ra2_in1k,320,66.010,33.990,86.550,13.450,16.01,1.000,bicubic,-12.320,-7.496,-45
efficientnet_b1_pruned.in1k,240,66.000,34.000,86.600,13.400,6.33,0.882,bicubic,-12.252,-7.220,-40
convnextv2_femto.fcmae_ft_in1k,224,65.980,34.020,86.700,13.300,5.23,0.875,bicubic,-12.496,-7.284,-61
res2net50_26w_4s.in1k,224,65.980,34.020,86.590,13.410,25.70,0.875,bilinear,-12.014,-7.270,-17
ese_vovnet19b_dw.ra_in1k,288,65.960,34.040,86.460,13.540,6.54,0.950,bicubic,-11.828,-7.232,+1
poolformerv2_s12.sail_in1k,224,65.950,34.050,86.450,13.550,11.89,1.000,bicubic,-12.058,-7.414,-22
resnext50_32x4d.tv_in1k,224,65.950,34.050,86.030,13.970,25.03,0.875,bilinear,-11.682,-7.644,+7
regnety_016.pycls_in1k,224,65.940,34.060,86.260,13.740,11.20,0.875,bicubic,-11.940,-7.466,-14
resnet101.tv_in1k,224,65.940,34.060,86.020,13.980,44.55,0.875,bilinear,-11.464,-7.532,+26
gcresnext26ts.ch_in1k,288,65.920,34.080,86.650,13.350,10.48,1.000,bicubic,-12.516,-7.378,-60
resnet50.gluon_in1k,224,65.890,34.110,86.260,13.740,25.56,0.875,bicubic,-11.690,-7.444,+10
resnet34d.ra2_in1k,224,65.850,34.150,86.580,13.420,21.82,0.875,bicubic,-11.258,-6.792,+43
starnet_s3.in1k,224,65.830,34.170,86.110,13.890,5.75,0.875,bicubic,-11.548,-7.506,+23
convnext_femto.d1_in1k,224,65.820,34.180,86.570,13.430,5.22,0.875,bicubic,-11.678,-7.108,+11
rexnet_100.nav_in1k,224,65.820,34.180,86.530,13.470,4.80,0.875,bicubic,-12.042,-7.360,-18
gcresnext26ts.ch_in1k,256,65.820,34.180,85.860,14.140,10.48,0.900,bicubic,-11.990,-8.176,-11
repvgg_b1g4.rvgg_in1k,224,65.800,34.200,86.010,13.990,39.97,0.875,bilinear,-11.808,-7.836,0
seresnext26t_32x4d.bt_in1k,224,65.790,34.210,85.630,14.370,16.81,0.875,bicubic,-12.190,-8.120,-31
resnet34.ra4_e3600_r224_in1k,224,65.770,34.230,85.670,14.330,21.80,0.900,bicubic,-11.722,-7.828,+8
resnet34.a2_in1k,288,65.760,34.240,86.070,13.930,21.80,1.000,bicubic,-11.390,-7.218,+33
densenet161.tv_in1k,224,65.720,34.280,86.550,13.450,28.68,0.875,bicubic,-11.664,-7.106,+14
regnetx_008.tv2_in1k,224,65.700,34.300,86.270,13.730,7.26,0.965,bicubic,-11.594,-7.394,+20
eca_resnext26ts.ch_in1k,256,65.690,34.310,85.840,14.160,10.30,0.900,bicubic,-11.756,-7.734,+9
skresnet34.ra_in1k,224,65.680,34.320,85.980,14.020,22.28,0.875,bicubic,-11.276,-7.340,+41
cs3darknet_m.c2ns_in1k,256,65.670,34.330,86.620,13.380,9.31,0.887,bicubic,-11.304,-6.962,+38
resnet50.a3_in1k,224,65.670,34.330,85.680,14.320,25.56,0.950,bicubic,-12.382,-8.100,-49
resnext50_32x4d.a3_in1k,160,65.670,34.330,85.270,14.730,25.03,0.950,bicubic,-12.062,-8.044,-16
mobilenetv3_large_100.miil_in21k_ft_in1k,224,65.660,34.340,85.210,14.790,5.48,0.875,bilinear,-12.260,-7.684,-34
hgnetv2_b0.ssld_stage1_in22k_in1k,224,65.630,34.370,86.390,13.610,6.00,0.965,bicubic,-11.238,-7.230,+45
xcit_tiny_12_p16_224.fb_in1k,224,65.630,34.370,86.250,13.750,6.72,1.000,bicubic,-11.492,-7.478,+24
res2next50.in1k,224,65.630,34.370,85.800,14.200,24.67,0.875,bilinear,-12.608,-8.104,-68
mobilenetv1_125.ra4_e3600_r224_in1k,256,65.610,34.390,85.920,14.080,6.27,1.000,bicubic,-12.002,-7.834,-16
convnextv2_atto.fcmae_ft_in1k,288,65.600,34.400,86.090,13.910,3.71,0.950,bicubic,-12.194,-7.638,-28
seresnext26ts.ch_in1k,256,65.590,34.410,86.060,13.940,10.39,0.900,bicubic,-12.270,-7.730,-35
selecsls42b.in1k,224,65.580,34.420,85.870,14.130,32.46,0.875,bicubic,-11.604,-7.520,+15
hardcorenas_d.miil_green_in1k,224,65.570,34.430,85.490,14.510,7.50,0.875,bilinear,-11.880,-7.990,-5
convnext_atto_ols.a2_in1k,288,65.550,34.450,86.270,13.730,3.70,0.950,bicubic,-11.670,-7.430,+11
ecaresnet50t.a3_in1k,160,65.550,34.450,85.710,14.290,25.57,0.950,bicubic,-12.236,-7.910,-30
tf_efficientnetv2_b1.in1k,192,65.540,34.460,85.930,14.070,8.14,0.882,bicubic,-12.394,-7.892,-48
poolformer_s12.sail_in1k,224,65.530,34.470,86.230,13.770,11.92,0.900,bicubic,-11.708,-7.308,+6
resnet26t.ra2_in1k,256,65.470,34.530,86.210,13.790,16.01,0.940,bicubic,-12.408,-7.628,-45
convmixer_1024_20_ks9_p14.in1k,224,65.440,34.560,85.510,14.490,24.38,0.960,bicubic,-11.504,-7.854,+25
fastvit_t8.apple_dist_in1k,256,65.380,34.620,86.060,13.940,4.03,0.900,bicubic,-11.790,-7.214,+8
mobileone_s2.apple_in1k,224,65.380,34.620,85.930,14.070,7.88,0.900,bilinear,-12.124,-7.734,-21
densenetblur121d.ra_in1k,224,65.380,34.620,85.740,14.260,8.00,0.875,bicubic,-11.194,-7.448,+44
tf_efficientnet_b0.ap_in1k,224,65.350,34.650,85.510,14.490,5.29,0.875,bicubic,-11.750,-7.822,+11
tf_efficientnet_lite2.in1k,260,65.330,34.670,86.020,13.980,6.09,0.890,bicubic,-12.140,-7.736,-17
dpn68b.mx_in1k,224,65.290,34.710,85.890,14.110,12.61,0.875,bicubic,-12.204,-7.944,-22
densenet201.tv_in1k,224,65.280,34.720,85.650,14.350,20.01,0.875,bicubic,-12.004,-7.830,-5
seresnext26d_32x4d.bt_in1k,224,65.260,34.740,85.800,14.200,16.81,0.875,bicubic,-12.332,-7.814,-30
crossvit_9_dagger_240.in1k,240,65.250,34.750,86.440,13.560,8.78,0.875,bicubic,-11.740,-7.162,+12
res2net50_48w_2s.in1k,224,65.240,34.760,85.920,14.080,25.29,0.875,bilinear,-12.288,-7.642,-29
resnetrs50.tf_in1k,160,65.200,34.800,85.690,14.310,35.69,0.910,bicubic,-12.658,-8.120,-53
hrnet_w18.ms_in1k,224,65.190,34.810,85.690,14.310,21.30,0.875,bilinear,-11.580,-7.758,+22
dla60.in1k,224,65.150,34.850,85.820,14.180,22.04,0.875,bilinear,-11.886,-7.252,+5
cs3darknet_focus_m.c2ns_in1k,256,65.130,34.870,86.020,13.980,9.30,0.887,bicubic,-11.624,-7.530,+22
shvit_s3.in1k,224,65.090,34.910,85.850,14.150,14.25,0.875,bicubic,-12.266,-7.460,-19
ese_vovnet19b_dw.ra_in1k,224,65.090,34.910,85.440,14.560,6.54,0.875,bicubic,-11.738,-7.836,+17
resnet26d.bt_in1k,288,65.070,34.930,85.800,14.200,16.01,0.950,bicubic,-12.352,-7.834,-26
gernet_s.idstcv_in1k,224,65.060,34.940,85.360,14.640,8.17,0.875,bilinear,-11.814,-7.782,+13
resnet34.a1_in1k,224,65.040,34.960,85.170,14.830,21.80,0.950,bicubic,-11.380,-7.726,+35
convnext_atto.d2_in1k,288,64.980,35.020,86.150,13.850,3.70,0.950,bicubic,-12.036,-7.554,0
seresnet50.a3_in1k,224,64.980,35.020,85.120,14.880,28.09,0.950,bicubic,-12.056,-8.196,-2
tf_efficientnet_cc_b0_4e.in1k,224,64.960,35.040,84.990,15.010,13.31,0.875,bicubic,-12.364,-8.344,-25
mobilenetv2_120d.ra_in1k,224,64.940,35.060,85.840,14.160,5.83,0.875,bicubic,-12.360,-7.676,-24
hardcorenas_c.miil_green_in1k,224,64.920,35.080,85.130,14.870,5.52,0.875,bilinear,-12.172,-8.062,-8
ghostnetv2_130.in1k,224,64.880,35.120,85.420,14.580,8.96,0.875,bicubic,-11.866,-7.944,+12
resnet34.bt_in1k,288,64.840,35.160,86.150,13.850,21.80,0.950,bicubic,-11.666,-7.192,+25
legacy_seresnext26_32x4d.in1k,224,64.840,35.160,85.540,14.460,16.79,0.875,bicubic,-12.260,-7.718,-13
repghostnet_150.in1k,224,64.820,35.180,85.940,14.060,6.58,0.875,bicubic,-12.654,-7.556,-42
resnet50d.a3_in1k,160,64.820,35.180,84.940,15.060,25.58,0.950,bicubic,-12.402,-8.316,-24
efficientformerv2_s0.snap_dist_in1k,224,64.740,35.260,85.560,14.440,3.60,0.950,bicubic,-11.362,-7.290,+33
mixnet_m.ft_in1k,224,64.730,35.270,85.490,14.510,5.01,0.875,bicubic,-12.538,-7.928,-28
fastvit_t8.apple_in1k,256,64.690,35.310,85.580,14.420,4.03,0.900,bicubic,-11.494,-7.462,+29
resnet26d.bt_in1k,224,64.660,35.340,85.150,14.850,16.01,0.875,bicubic,-12.038,-8.006,+5
tf_efficientnetv2_b0.in1k,192,64.630,35.370,85.410,14.590,7.14,0.875,bicubic,-12.246,-7.774,-4
efficientvit_m5.r224_in1k,224,64.630,35.370,85.320,14.680,12.47,0.875,bicubic,-12.462,-7.848,-18
resnext26ts.ra2_in1k,288,64.590,35.410,85.540,14.460,10.30,1.000,bicubic,-12.596,-7.930,-29
mobilenetv3_large_100.ra4_e3600_r224_in1k,256,64.580,35.420,85.570,14.430,5.48,1.000,bicubic,-12.602,-7.758,-28
tf_efficientnet_lite1.in1k,240,64.580,35.420,85.390,14.610,5.42,0.882,bicubic,-12.094,-7.842,+1
xcit_nano_12_p8_224.fb_dist_in1k,224,64.510,35.490,85.900,14.100,3.05,1.000,bicubic,-11.820,-7.170,+19
densenet169.tv_in1k,224,64.490,35.510,85.310,14.690,14.15,0.875,bicubic,-11.432,-7.498,+32
mobilenetv1_125.ra4_e3600_r224_in1k,224,64.470,35.530,85.100,14.900,6.27,0.900,bicubic,-12.450,-8.132,-13
tf_mixnet_m.in1k,224,64.470,35.530,84.920,15.080,5.01,0.875,bicubic,-12.482,-8.244,-18
levit_conv_128s.fb_dist_in1k,224,64.470,35.530,84.690,15.310,7.78,0.900,bicubic,-12.064,-8.192,+5
levit_128s.fb_dist_in1k,224,64.450,35.550,84.690,15.310,7.78,0.900,bicubic,-12.070,-8.180,+6
resnext26ts.ra2_in1k,256,64.440,35.560,85.010,14.990,10.30,0.900,bicubic,-12.328,-8.128,-10
hardcorenas_b.miil_green_in1k,224,64.380,35.620,84.750,15.250,5.18,0.875,bilinear,-12.170,-8.016,0
ghostnetv3_100.in1k,224,64.350,35.650,85.120,14.880,8.13,0.875,bicubic,-12.586,-8.004,-20
tf_efficientnet_b0.aa_in1k,224,64.340,35.660,85.190,14.810,5.29,0.875,bicubic,-12.542,-8.080,-19
resmlp_12_224.fb_in1k,224,64.330,35.670,85.600,14.400,15.35,0.875,bicubic,-12.330,-7.570,-9
mobilenetv1_100h.ra4_e3600_r224_in1k,256,64.330,35.670,85.510,14.490,5.28,0.950,bicubic,-12.268,-7.762,-6
repvgg_a2.rvgg_in1k,224,64.290,35.710,85.070,14.930,28.21,0.875,bilinear,-12.198,-7.946,+1
regnetx_016.pycls_in1k,224,64.270,35.730,85.430,14.570,9.19,0.875,bicubic,-12.666,-8.002,-26
convnextv2_atto.fcmae_ft_in1k,224,64.260,35.740,85.050,14.950,3.71,0.875,bicubic,-12.384,-7.992,-12
xcit_nano_12_p16_384.fb_dist_in1k,384,64.250,35.750,85.260,14.740,3.05,1.000,bicubic,-11.210,-7.412,+37
densenet121.ra_in1k,288,64.170,35.830,85.700,14.300,7.98,0.950,bicubic,-12.316,-7.678,-2
resnet26.bt_in1k,288,64.090,35.910,85.140,14.860,16.00,0.950,bicubic,-12.294,-8.038,-2
convnext_atto_ols.a2_in1k,224,64.090,35.910,84.810,15.190,3.70,0.875,bicubic,-11.812,-8.032,+18
resnet34.a2_in1k,224,64.020,35.980,84.320,15.680,21.80,0.950,bicubic,-11.500,-8.134,+29
vit_small_patch32_224.augreg_in21k_ft_in1k,224,63.920,36.080,85.590,14.410,22.88,0.900,bicubic,-12.090,-7.676,+8
resnetv2_18d.ra4_e3600_r224_in1k,288,63.910,36.090,85.450,14.550,11.71,1.000,bicubic,-12.148,-7.560,+5
resnet18d.ra4_e3600_r224_in1k,288,63.890,36.110,85.270,14.730,11.71,1.000,bicubic,-12.122,-7.514,+5
mobilenetv1_100.ra4_e3600_r224_in1k,256,63.890,36.110,85.110,14.890,4.23,0.950,bicubic,-12.198,-7.896,+2
dpn68.mx_in1k,224,63.880,36.120,85.070,14.930,12.61,0.875,bicubic,-12.424,-7.924,-3
mobilenetv2_140.ra_in1k,224,63.860,36.140,84.960,15.040,6.11,0.875,bicubic,-12.668,-8.048,-15
tf_efficientnet_es.in1k,224,63.860,36.140,84.590,15.410,5.44,0.875,bicubic,-12.748,-8.586,-22
regnety_008.pycls_in1k,224,63.800,36.200,85.240,14.760,6.26,0.875,bicubic,-12.534,-7.820,-9
repghostnet_130.in1k,224,63.770,36.230,84.780,15.220,5.48,0.875,bicubic,-12.608,-8.118,-11
densenet121.ra_in1k,224,63.740,36.260,84.580,15.420,7.98,0.875,bicubic,-11.834,-8.068,+17
hardcorenas_a.miil_green_in1k,224,63.740,36.260,84.490,15.510,5.26,0.875,bilinear,-12.186,-7.996,+3
mobilenetv3_large_100.ra4_e3600_r224_in1k,224,63.710,36.290,84.800,15.200,5.48,0.950,bicubic,-12.600,-8.042,-11
resnest14d.gluon_in1k,224,63.680,36.320,84.050,15.950,10.61,0.875,bilinear,-11.836,-8.462,+17
convnext_atto.d2_in1k,224,63.670,36.330,84.950,15.050,3.70,0.875,bicubic,-12.002,-7.964,+6
tf_efficientnet_b0.in1k,224,63.540,36.460,84.680,15.320,5.29,0.875,bicubic,-13.002,-8.328,-26
regnety_004.tv2_in1k,224,63.520,36.480,84.820,15.180,4.34,0.965,bicubic,-12.074,-7.886,+11
mobilevitv2_075.cvnets_in1k,256,63.500,36.500,84.880,15.120,2.87,0.888,bicubic,-12.112,-7.874,+8
mixnet_s.ft_in1k,224,63.490,36.510,84.730,15.270,4.13,0.875,bicubic,-12.510,-8.066,-8
resnet26.bt_in1k,224,63.450,36.550,84.200,15.800,16.00,0.875,bicubic,-11.848,-8.378,+20
tf_mixnet_s.in1k,224,63.440,36.560,84.100,15.900,4.13,0.875,bicubic,-12.216,-8.532,+2
mobilenetv3_rw.rmsp_in1k,224,63.320,36.680,84.620,15.380,5.48,0.875,bicubic,-12.296,-8.076,+1
resnet34.bt_in1k,224,63.320,36.680,84.230,15.770,21.80,0.875,bicubic,-11.856,-7.936,+21
mobilenetv3_large_100.ra_in1k,224,63.320,36.680,84.080,15.920,5.48,0.875,bicubic,-12.464,-8.448,-4
efficientnet_es_pruned.in1k,224,63.280,36.720,84.840,15.160,5.44,0.875,bicubic,-11.730,-7.598,+27
resnetv2_18.ra4_e3600_r224_in1k,288,63.280,36.720,84.720,15.280,11.69,1.000,bicubic,-12.084,-7.972,+12
semnasnet_100.rmsp_in1k,224,63.230,36.770,84.480,15.520,3.89,0.875,bicubic,-12.222,-8.378,+9
mixer_b16_224.goog_in21k_ft_in1k,224,63.220,36.780,83.090,16.910,59.88,0.875,bicubic,-13.396,-9.160,-43
vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,384,63.200,36.800,85.130,14.870,6.36,1.000,bicubic,-12.762,-8.142,-17
efficientnet_lite0.ra_in1k,224,63.200,36.800,84.350,15.650,4.65,0.875,bicubic,-12.288,-8.158,+4
resnet50.tv_in1k,224,63.190,36.810,84.640,15.360,25.56,0.875,bilinear,-12.966,-8.226,-26
swiftformer_xs.dist_in1k,224,63.150,36.850,84.250,15.750,3.48,0.950,bicubic,-12.450,-8.064,-5
vit_tiny_patch16_224.augreg_in21k_ft_in1k,224,63.110,36.890,84.900,15.100,5.72,0.900,bicubic,-12.342,-7.708,+2
mobileone_s1.apple_in1k,224,63.060,36.940,84.260,15.740,4.83,0.900,bilinear,-12.700,-8.528,-15
pit_ti_distilled_224.in1k,224,63.060,36.940,83.810,16.190,5.10,0.900,bicubic,-11.216,-8.110,+38
ghostnetv2_100.in1k,224,63.040,36.960,84.190,15.810,6.16,0.875,bicubic,-12.146,-8.144,+6
inception_next_atto.sail_in1k,224,62.930,37.070,84.600,15.400,4.16,0.875,bicubic,-12.418,-7.958,+2
mobilenetv1_100.ra4_e3600_r224_in1k,224,62.880,37.120,84.370,15.630,4.23,0.875,bicubic,-12.508,-7.940,-1
resnet50.a3_in1k,160,62.870,37.130,84.020,15.980,25.56,0.950,bicubic,-13.124,-8.474,-27
fasternet_t1.in1k,224,62.860,37.140,84.020,15.980,7.60,1.000,bicubic,-13.062,-8.956,-24
mobilevit_xs.cvnets_in1k,256,62.850,37.150,84.690,15.310,2.32,0.900,bicubic,-11.768,-7.660,+22
legacy_seresnet34.in1k,224,62.820,37.180,84.180,15.820,21.96,0.875,bilinear,-11.968,-7.954,+15
mobilenetv1_100h.ra4_e3600_r224_in1k,224,62.760,37.240,84.420,15.580,5.28,0.875,bicubic,-12.904,-8.102,-24
densenet121.tv_in1k,224,62.760,37.240,84.110,15.890,7.98,0.875,bicubic,-11.990,-8.048,+13
regnety_006.pycls_in1k,224,62.760,37.240,84.100,15.900,6.06,0.875,bicubic,-12.514,-8.432,-3
deit_tiny_distilled_patch16_224.fb_in1k,224,62.760,37.240,83.850,16.150,5.91,0.900,bicubic,-11.778,-8.048,+23
edgenext_x_small.in1k,288,62.750,37.250,84.550,15.450,2.34,1.000,bicubic,-12.956,-8.210,-27
tinynet_b.in1k,188,62.710,37.290,84.310,15.690,3.73,0.875,bicubic,-12.236,-7.884,+5
seresnet50.a3_in1k,160,62.700,37.300,83.820,16.180,28.09,0.950,bicubic,-12.404,-8.276,-2
hrnet_w18_small_v2.ms_in1k,224,62.690,37.310,83.910,16.090,15.60,0.875,bilinear,-12.404,-8.504,-2
resnet18.fb_swsl_ig1b_ft_in1k,224,62.680,37.320,84.300,15.700,11.69,0.875,bilinear,-10.606,-7.454,+43
mobilenetv2_110d.ra_in1k,224,62.670,37.330,84.460,15.540,4.52,0.875,bicubic,-12.386,-7.726,-3
mobilenetv4_conv_small.e3600_r256_in1k,320,62.670,37.330,84.460,15.540,3.77,1.000,bicubic,-12.946,-8.308,-28
tf_efficientnet_lite0.in1k,224,62.650,37.350,84.180,15.820,4.65,0.875,bicubic,-12.196,-8.000,+2
dla34.in1k,224,62.610,37.390,83.860,16.140,15.74,0.875,bilinear,-12.022,-8.192,+7
starnet_s2.in1k,224,62.580,37.420,84.170,15.830,3.68,0.875,bicubic,-12.086,-7.974,+4
repvgg_b0.rvgg_in1k,224,62.570,37.430,83.680,16.320,15.82,0.875,bilinear,-12.588,-8.730,-12
resnet34.gluon_in1k,224,62.540,37.460,83.970,16.030,21.80,0.875,bicubic,-12.034,-8.018,+7
regnetx_008.pycls_in1k,224,62.510,37.490,83.980,16.020,7.26,0.875,bicubic,-12.544,-8.358,-8
fbnetc_100.rmsp_in1k,224,62.460,37.540,83.490,16.510,5.57,0.875,bilinear,-12.660,-8.894,-14
xcit_nano_12_p8_224.fb_in1k,224,62.380,37.620,84.130,15.870,3.05,1.000,bicubic,-11.520,-8.024,+21
tf_mobilenetv3_large_100.in1k,224,62.380,37.620,83.800,16.200,5.48,0.875,bilinear,-13.130,-8.800,-30
resnetv2_18d.ra4_e3600_r224_in1k,224,62.250,37.750,83.810,16.190,11.71,0.900,bicubic,-12.172,-8.118,+6
edgenext_x_small.in1k,256,62.210,37.790,83.850,16.150,2.34,0.900,bicubic,-12.664,-8.454,-9
repghostnet_111.in1k,224,62.200,37.800,83.750,16.250,4.54,0.875,bicubic,-12.860,-8.446,-16
crossvit_9_240.in1k,240,62.170,37.830,84.210,15.790,8.55,0.875,bicubic,-11.824,-7.766,+12
mnasnet_100.rmsp_in1k,224,62.080,37.920,83.710,16.290,4.38,0.875,bicubic,-12.592,-8.398,-8
crossvit_tiny_240.in1k,240,62.060,37.940,83.780,16.220,7.01,0.875,bicubic,-11.292,-8.126,+24
shvit_s2.in1k,224,62.050,37.950,83.980,16.020,11.48,0.875,bicubic,-13.134,-8.336,-26
resnet18d.ra4_e3600_r224_in1k,224,62.000,38.000,83.900,16.100,11.71,0.900,bicubic,-12.356,-7.926,0
efficientvit_m4.r224_in1k,224,61.930,38.070,83.440,16.560,8.80,0.875,bicubic,-12.414,-8.520,0
regnety_004.pycls_in1k,224,61.920,38.080,83.450,16.550,4.34,0.875,bicubic,-12.084,-8.306,+5
mobilenetv4_conv_small.e2400_r224_in1k,256,61.880,38.120,83.870,16.130,3.77,0.950,bicubic,-12.764,-8.152,-12
vgg19_bn.tv_in1k,224,61.880,38.120,83.380,16.620,143.68,0.875,bilinear,-12.350,-8.468,-1
repvgg_a1.rvgg_in1k,224,61.880,38.120,82.990,17.010,14.09,0.875,bilinear,-12.594,-8.862,-6
regnetx_004_tv.tv2_in1k,224,61.810,38.190,83.720,16.280,5.50,0.965,bicubic,-12.786,-8.420,-12
resnet18d.ra2_in1k,288,61.780,38.220,83.780,16.220,11.71,0.950,bicubic,-12.010,-8.054,+6
mobilenetv4_conv_small.e1200_r224_in1k,256,61.630,38.370,83.080,16.920,3.77,0.950,bicubic,-12.652,-9.042,-6
resnet18.a1_in1k,288,61.600,38.400,82.380,17.620,11.69,1.000,bicubic,-11.564,-8.674,+17
mobilenetv4_conv_small.e3600_r256_in1k,256,61.590,38.410,83.780,16.220,3.77,0.950,bicubic,-12.944,-8.160,-13
resnet18.fb_ssl_yfcc100m_ft_in1k,224,61.490,38.510,83.210,16.790,11.69,0.875,bilinear,-11.146,-8.206,+25
starnet_s1.in1k,224,61.480,38.520,83.710,16.290,2.87,0.875,bicubic,-12.052,-7.794,+5
repghostnet_100.in1k,224,61.460,38.540,82.550,17.450,4.07,0.875,bicubic,-12.748,-9.000,-8
convit_tiny.fb_in1k,224,61.430,38.570,83.990,16.010,5.71,0.875,bicubic,-11.710,-7.714,+14
resnet34.a3_in1k,224,61.360,38.640,82.510,17.490,21.80,0.950,bicubic,-11.636,-8.606,+16
cs3darknet_focus_s.ra4_e3600_r256_in1k,320,61.350,38.650,83.740,16.260,3.27,1.000,bicubic,-11.808,-7.718,+11
convnext_zepto_rms_ols.ra4_e3600_r224_in1k,224,61.220,38.780,82.840,17.160,2.16,0.900,bicubic,-12.014,-8.430,+8
regnetx_006.pycls_in1k,224,61.210,38.790,83.300,16.700,6.20,0.875,bicubic,-12.694,-8.340,-8
resnet34.tv_in1k,224,61.210,38.790,82.670,17.330,21.80,0.875,bilinear,-12.088,-8.752,+5
hrnet_w18_small.gluon_in1k,224,61.210,38.790,81.900,18.100,13.19,0.875,bicubic,-12.724,-9.278,-10
ghostnet_100.in1k,224,61.160,38.840,82.390,17.610,5.18,0.875,bicubic,-12.798,-9.152,-12
spnasnet_100.rmsp_in1k,224,61.110,38.890,82.770,17.230,4.42,0.875,bilinear,-12.976,-9.056,-16
efficientvit_m3.r224_in1k,224,61.050,38.950,83.040,16.960,6.90,0.875,bicubic,-12.344,-8.296,-3
vit_base_patch32_224.augreg_in1k,224,61.010,38.990,82.740,17.260,88.22,0.900,bicubic,-13.898,-9.030,-40
pit_ti_224.in1k,224,60.940,39.060,83.830,16.170,4.85,0.900,bicubic,-11.986,-7.582,+7
mobilenetv4_conv_small.e2400_r224_in1k,224,60.900,39.100,82.710,17.290,3.77,0.875,bicubic,-12.856,-8.720,-12
skresnet18.ra_in1k,224,60.880,39.120,82.870,17.130,11.96,0.875,bicubic,-12.140,-8.302,+2
resnetv2_18.ra4_e3600_r224_in1k,224,60.830,39.170,82.870,17.130,11.69,0.900,bicubic,-12.742,-8.486,-12
vgg16_bn.tv_in1k,224,60.820,39.180,83.000,17.000,138.37,0.875,bilinear,-12.534,-8.490,-8
semnasnet_075.rmsp_in1k,224,60.630,39.370,82.510,17.490,2.91,0.875,bicubic,-12.370,-8.614,0
convnext_zepto_rms.ra4_e3600_r224_in1k,224,60.610,39.390,82.740,17.260,2.16,0.875,bicubic,-12.210,-8.366,+3
mobilenetv4_conv_small.e1200_r224_in1k,224,60.600,39.400,82.490,17.510,3.77,0.875,bicubic,-12.850,-8.850,-14
xcit_nano_12_p16_224.fb_dist_in1k,224,60.350,39.650,82.500,17.500,3.05,1.000,bicubic,-11.968,-8.326,+9
tf_mobilenetv3_large_075.in1k,224,60.320,39.680,81.800,18.200,3.99,0.875,bilinear,-13.122,-9.532,-15
mobilenetv2_100.ra_in1k,224,60.220,39.780,82.120,17.880,3.50,0.875,bicubic,-12.690,-8.880,-2
cs3darknet_focus_s.ra4_e3600_r256_in1k,256,60.180,39.820,82.720,17.280,3.27,0.887,bicubic,-11.998,-8.110,+12
resnet18.a2_in1k,288,60.120,39.880,81.810,18.190,11.69,1.000,bicubic,-12.244,-8.810,+3
vit_base_patch32_224.sam_in1k,224,59.980,40.020,81.270,18.730,88.22,0.900,bicubic,-13.724,-9.742,-23
deit_tiny_patch16_224.fb_in1k,224,59.920,40.080,82.750,17.250,5.72,0.900,bicubic,-12.270,-8.350,+8
resnet18d.ra2_in1k,224,59.910,40.090,82.330,17.670,11.71,0.875,bicubic,-12.386,-8.352,+3
shvit_s1.in1k,224,59.800,40.200,82.140,17.860,6.33,0.875,bicubic,-12.980,-8.884,-6
legacy_seresnet18.in1k,224,59.760,40.240,81.620,18.380,11.78,0.875,bicubic,-11.982,-8.720,+11
vgg19.tv_in1k,224,59.720,40.280,81.440,18.560,143.67,0.875,bilinear,-12.680,-9.438,-4
repvgg_a0.rvgg_in1k,224,59.500,40.500,81.280,18.720,9.11,0.875,bilinear,-12.926,-9.226,-6
edgenext_xx_small.in1k,288,59.430,40.570,81.850,18.150,1.33,1.000,bicubic,-12.456,-8.684,+6
resnet18.a1_in1k,224,59.320,40.680,81.110,18.890,11.69,0.950,bicubic,-12.184,-8.976,+11
regnetx_004.pycls_in1k,224,59.280,40.720,81.840,18.160,5.16,0.875,bicubic,-13.202,-9.000,-10
repghostnet_080.in1k,224,59.090,40.910,81.250,18.750,3.28,0.875,bicubic,-13.150,-9.242,-2
tf_mobilenetv3_large_minimal_100.in1k,224,58.990,41.010,80.910,19.090,3.92,0.875,bilinear,-13.280,-9.754,-5
hrnet_w18_small.ms_in1k,224,58.910,41.090,81.320,18.680,13.19,0.875,bilinear,-13.430,-9.368,-9
vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,224,58.890,41.110,81.520,18.480,6.34,0.900,bicubic,-12.910,-9.290,+1
vgg13_bn.tv_in1k,224,58.870,41.130,81.030,18.970,133.05,0.875,bilinear,-12.690,-9.342,+4
lcnet_100.ra2_in1k,224,58.750,41.250,80.920,19.080,2.95,0.875,bicubic,-13.380,-9.456,-4
pvt_v2_b0.in1k,224,58.710,41.290,82.030,17.970,3.67,0.900,bicubic,-11.944,-8.176,+11
vgg16.tv_in1k,224,58.640,41.360,81.610,18.390,138.36,0.875,bilinear,-12.954,-8.788,0
mobileone_s0.apple_in1k,224,58.420,41.580,80.070,19.930,5.29,0.875,bilinear,-12.978,-9.794,+3
xcit_nano_12_p16_224.fb_in1k,224,58.410,41.590,80.750,19.250,3.05,1.000,bicubic,-11.572,-9.030,+14
efficientvit_m2.r224_in1k,224,58.340,41.660,81.170,18.830,4.19,0.875,bicubic,-12.456,-8.982,+6
resnet18.gluon_in1k,224,58.330,41.670,80.980,19.020,11.69,0.875,bicubic,-12.514,-8.770,+4
resnet18.a2_in1k,224,58.190,41.810,80.200,19.800,11.69,0.950,bicubic,-12.444,-9.286,+6
tinynet_c.in1k,184,58.170,41.830,80.260,19.740,2.46,0.875,bicubic,-13.044,-9.486,0
resnet14t.c3_in1k,224,58.150,41.850,80.070,19.930,10.08,0.950,bicubic,-14.092,-10.248,-18
resnet34.a3_in1k,160,58.150,41.850,80.070,19.930,21.80,0.950,bicubic,-12.430,-9.470,+5
efficientvit_b0.r224_in1k,224,58.150,41.850,79.890,20.110,3.41,0.950,bicubic,-13.258,-9.544,-6
edgenext_xx_small.in1k,256,58.100,41.900,81.230,18.770,1.33,0.900,bicubic,-13.032,-8.812,-3
fasternet_t0.in1k,224,58.050,41.950,80.400,19.600,3.91,1.000,bicubic,-13.682,-9.674,-12
mobilevitv2_050.cvnets_in1k,256,57.690,42.310,80.980,19.020,1.37,0.888,bicubic,-12.466,-8.950,+3
resnet18.tv_in1k,224,57.350,42.650,80.080,19.920,11.69,0.875,bilinear,-12.402,-9.002,+5
mobilevit_xxs.cvnets_in1k,256,57.250,42.750,79.730,20.270,1.27,0.900,bicubic,-11.686,-9.212,+7
vgg13.tv_in1k,224,57.090,42.910,79.620,20.380,133.05,0.875,bilinear,-12.860,-9.642,+2
vgg11_bn.tv_in1k,224,57.010,42.990,79.770,20.230,132.87,0.875,bilinear,-13.364,-10.032,-4
resnet14t.c3_in1k,176,57.010,42.990,79.610,20.390,10.08,0.875,bicubic,-14.308,-10.070,-11
regnety_002.pycls_in1k,224,56.970,43.030,79.780,20.220,3.16,0.875,bicubic,-13.318,-9.764,-4
dla60x_c.in1k,224,56.230,43.770,78.840,21.160,1.32,0.875,bilinear,-11.698,-9.586,+8
mixer_l16_224.goog_in21k_ft_in1k,224,56.210,43.790,75.710,24.290,208.20,0.875,bicubic,-15.874,-11.922,-25
resnet18.a3_in1k,224,55.990,44.010,78.830,21.170,11.69,0.950,bicubic,-12.260,-9.342,+5
repghostnet_058.in1k,224,55.970,44.030,78.350,21.650,2.55,0.875,bicubic,-12.968,-10.036,-2
vgg11.tv_in1k,224,55.850,44.150,78.770,21.230,132.86,0.875,bilinear,-13.200,-9.860,-4
regnetx_002.pycls_in1k,224,55.830,44.170,79.260,20.740,2.68,0.875,bicubic,-12.928,-9.308,-1
efficientvit_m1.r224_in1k,224,55.570,44.430,78.950,21.050,2.98,0.875,bicubic,-12.770,-9.742,0
resnet10t.c3_in1k,224,55.440,44.560,78.300,21.700,5.44,0.950,bicubic,-12.914,-9.734,-2
lcnet_075.ra2_in1k,224,55.290,44.710,78.230,21.770,2.36,0.875,bicubic,-13.496,-10.154,-5
mobilenetv3_small_100.lamb_in1k,224,54.630,45.370,77.670,22.330,2.54,0.875,bicubic,-13.006,-9.968,+1
tf_mobilenetv3_small_100.in1k,224,54.580,45.420,76.970,23.030,2.54,0.875,bilinear,-13.342,-10.716,-1
resnet10t.c3_in1k,176,54.030,45.970,76.500,23.500,5.44,0.875,bicubic,-12.694,-10.476,+2
repghostnet_050.in1k,224,53.560,46.440,76.630,23.370,2.31,0.875,bicubic,-13.418,-10.306,-1
tinynet_d.in1k,152,53.270,46.730,76.350,23.650,2.34,0.875,bicubic,-13.666,-10.728,-1
dla46x_c.in1k,224,53.120,46.880,76.780,23.220,1.07,0.875,bilinear,-12.888,-10.166,+1
mnasnet_small.lamb_in1k,224,53.120,46.880,75.850,24.150,2.03,0.875,bicubic,-13.084,-10.620,-1
mobilenetv2_050.lamb_in1k,224,53.000,47.000,75.510,24.490,1.97,0.875,bicubic,-12.928,-10.604,0
resnet18.a3_in1k,160,52.870,47.130,75.840,24.160,11.69,0.950,bicubic,-12.800,-10.428,+2
mobilenetv4_conv_small_050.e3000_r224_in1k,256,52.460,47.540,75.930,24.070,2.24,0.950,bicubic,-13.366,-10.486,-1
tf_mobilenetv3_small_075.in1k,224,52.320,47.680,75.520,24.480,2.04,0.875,bilinear,-13.386,-10.610,-1
dla46_c.in1k,224,52.030,47.970,75.670,24.330,1.30,0.875,bilinear,-12.850,-10.660,+1
mobilenetv3_small_075.lamb_in1k,224,51.820,48.180,74.710,25.290,2.04,0.875,bicubic,-13.464,-10.752,-1
mobilenetv4_conv_small_050.e3000_r224_in1k,224,51.430,48.570,75.160,24.840,2.24,0.875,bicubic,-13.348,-10.340,0
efficientvit_m0.r224_in1k,224,50.610,49.390,74.450,25.550,2.35,0.875,bicubic,-12.694,-10.690,0
lcnet_050.ra2_in1k,224,50.050,49.950,73.430,26.570,1.88,0.875,bicubic,-13.088,-10.972,0
tf_mobilenetv3_small_minimal_100.in1k,224,49.570,50.430,72.810,27.190,2.04,0.875,bilinear,-13.322,-11.460,0
tinynet_e.in1k,106,46.760,53.240,70.230,29.770,2.04,0.875,bicubic,-13.114,-11.544,0
test_vit3.r160_in1k,160,45.390,54.610,70.390,29.610,0.93,0.950,bicubic,-11.518,-10.358,+1
mobilenetv3_small_050.lamb_in1k,224,44.840,55.160,67.760,32.240,1.59,0.875,bicubic,-13.078,-12.384,-1
test_convnext2.r160_in1k,160,43.080,56.920,67.910,32.090,0.48,0.950,bicubic,-10.440,-10.648,0
test_convnext3.r160_in1k,160,42.430,57.570,67.710,32.290,0.47,0.950,bicubic,-10.872,-10.616,0
test_convnext.r160_in1k,160,37.780,62.220,63.470,36.530,0.27,0.950,bicubic,-9.994,-10.696,0
test_nfnet.r160_in1k,160,36.860,63.140,61.770,38.230,0.38,0.950,bicubic,-10.774,-11.110,0
test_efficientnet_evos.r160_in1k,160,35.770,64.230,59.730,40.270,0.36,0.950,bicubic,-10.734,-11.292,+1
test_efficientnet.r160_in1k,160,35.180,64.820,59.400,40.600,0.36,0.950,bicubic,-11.326,-11.636,-1
test_byobnet.r160_in1k,160,35.090,64.910,59.560,40.440,0.46,0.950,bicubic,-10.768,-11.444,0
test_efficientnet_ln.r160_in1k,160,33.760,66.240,58.380,41.620,0.36,0.950,bicubic,-10.198,-10.946,0
test_efficientnet_gn.r160_in1k,160,33.490,66.510,57.850,42.150,0.36,0.950,bicubic,-10.398,-11.306,0
test_vit2.r160_in1k,160,32.830,67.170,58.110,41.890,0.46,0.950,bicubic,-9.420,-10.872,0
test_resnet.r160_in1k,160,31.680,68.320,56.830,43.170,0.47,0.950,bilinear,-9.922,-11.154,0
test_vit.r160_in1k,160,31.620,68.380,56.600,43.400,0.37,0.950,bicubic,-9.362,-10.782,0