{
"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
}