{ "opencollection": "1.0.0", "info": { "name": "Microsoft Azure AccessControlClient AccessConnector Detect API", "version": "2020-08-01-preview" }, "items": [ { "info": { "name": "Detect", "type": "folder" }, "items": [ { "info": { "name": "Microsoft Azure Post Detect", "type": "http" }, "http": { "method": "POST", "url": "{{baseUrl}}/detect", "params": [ { "name": "returnFaceId", "value": "", "type": "query", "description": "A value indicating whether the operation should return faceIds of detected faces. Detecting with this value set to true requires additional access approvals at https://aka.ms/facerecognition." }, { "name": "returnFaceLandmarks", "value": "", "type": "query", "description": "A value indicating whether the operation should return landmarks of the detected faces." }, { "name": "returnFaceAttributes", "value": "", "type": "query", "description": "Analyze and return the one or more specified face attributes in the comma-separated string like \"returnFaceAttributes=age,gender\". The available attributes depends on the 'detectionModel' specified. 'detection_01' supports age, gender, headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur, exposure, noise, and qualityForRecognition. While 'detection_02' does not support any attributes and 'detection_03' only supports mask and qualityForRecognition. Additionally, qualityForRecognition is only supported when the 'recognitionModel' is specified as 'recognition_03' or 'recognition_04'. Note that each face attribute analysis has additional computational and time cost." }, { "name": "recognitionModel", "value": "", "type": "query", "description": "Name of recognition model. Recognition model is used when the face features are extracted and associated with detected faceIds, (Large)FaceList or (Large)PersonGroup. A recognition model name can be provided when performing Face - Detect or (Large)FaceList - Create or (Large)PersonGroup - Create. The default value is 'recognition_01', if latest model needed, please explicitly specify the model you need." }, { "name": "returnRecognitionModel", "value": "", "type": "query", "description": "A value indicating whether the operation should return 'recognitionModel' in response." }, { "name": "detectionModel", "value": "", "type": "query", "description": "Name of detection model. Detection model is used to detect faces in the submitted image. A detection model name can be provided when performing Face - Detect or (Large)FaceList - Add Face or (Large)PersonGroup - Add Face. The default value is 'detection_01', if another model is needed, please explicitly specify it." }, { "name": "faceIdTimeToLive", "value": "", "type": "query", "description": "The number of seconds for the faceId being cached. Supported range from 60 seconds up to 86400 seconds. The default value is 86400 (24 hours)." } ] }, "docs": "Detect human faces in an image, return face rectangles, and optionally with faceIds, landmarks, and attributes.
* No image will be stored. Only the extracted face feature will be stored on server. The faceId is an identifier of the face feature and will be used in [Face - Identify](https://docs.microsoft.com/rest/api/faceapi/face/identify), [Face - Verify](https://docs.microsoft.com/rest/api/faceapi/face/verifyfacetoface), and [Face - Find Similar](https://docs.microsoft.com/rest/api/faceapi/" }, { "info": { "name": "Microsoft Azure Post Detect", "type": "http" }, "http": { "method": "POST", "url": "{{baseUrl}}/Detect", "headers": [ { "name": "X-ClientTraceId", "value": "" } ], "params": [ { "name": "api-version", "value": "", "type": "query", "description": "Version of the API requested by the client. Value must be **3.0**." } ] }, "docs": "Identifies the language of a string of text.
" } ] } ], "bundled": true }