Person Group Operations - Add Person Group Person Face

Service:

Azure AI Services

API Version:

v1.1-preview.1

Add a face to a person into a Person Group for face identification or verification.
To deal with an image containing multiple faces, input face can be specified as an image with a targetFace rectangle. It returns a persistedFaceId representing the added face. No image will be stored. Only the extracted face feature(s) will be stored on server until "Delete Person Group Person Face", "Delete Person Group Person" or "Delete Person Group" is called.

Note that persistedFaceId is different from faceId generated by "Detect".

• • Higher face image quality means better recognition precision. Please consider high-quality faces: frontal, clear, and face size is 200x200 pixels (100 pixels between eyes) or bigger.
  • Each person entry can hold up to 248 faces.
  • JPEG, PNG, GIF (the first frame), and BMP format are supported. The allowed image file size is from 1KB to 6MB.
  • "targetFace" rectangle should contain one face. Zero or multiple faces will be regarded as an error. If the provided "targetFace" rectangle is not returned from "Detect", there's no guarantee to detect and add the face successfully.
  • Out of detectable face size (36x36 - 4096x4096 pixels), large head-pose, or large occlusions will cause failures.
  • The minimum detectable face size is 36x36 pixels in an image no larger than 1920x1080 pixels. Images with dimensions higher than 1920x1080 pixels will need a proportionally larger minimum face size.
  • Different 'detectionModel' values can be provided. To use and compare different detection models, please refer to https://learn.microsoft.com/azure/ai-services/computer-vision/how-to/specify-detection-model

POST {endpoint}/face/{apiVersion}/persongroups/{personGroupId}/persons/{personId}/persistedfaces

With optional parameters:

POST {endpoint}/face/{apiVersion}/persongroups/{personGroupId}/persons/{personId}/persistedfaces?_overload=addPersonGroupPersonFace&targetFace={targetFace}&detectionModel={detectionModel}&userData={userData}

URI Parameters

Name	In	Required	Type	Description
apiVersion	path	True	string	API Version
endpoint	path	True	string uri	Supported Cognitive Services endpoints (protocol and hostname, for example: https://{resource-name}.cognitiveservices.azure.com).
personGroupId	path	True	string	ID of the container. Regex pattern: ^[a-z0-9-_]+$
personId	path	True	string uuid	ID of the person.
detectionModel	query		DetectionModel	The 'detectionModel' associated with the detected faceIds. Supported 'detectionModel' values include 'detection_01', 'detection_02' and 'detection_03'. The default value is 'detection_01'.
targetFace	query		integer[]	A face rectangle to specify the target face to be added to a person, in the format of 'targetFace=left,top,width,height'.
userData	query		string	User-provided data attached to the face. The size limit is 1K.

Request Body

Media Types: "application/octet-stream"

Name	Type	Description
imageContent	string	The image to be analyzed

Responses

Name	Type	Description
200 OK	AddFaceResult	A successful call returns a new persistedFaceId.
Other Status Codes	FaceErrorResponse	An unexpected error response. Headers x-ms-error-code: string

Security

Ocp-Apim-Subscription-Key

The secret key for your Azure AI Face subscription.

Type: apiKey
In: header

AADToken

The Azure Active Directory OAuth2 Flow

Type: oauth2
Flow: accessCode
Authorization URL: https://api.example.com/oauth2/authorize
Token URL: https://api.example.com/oauth2/token

Scopes

Name	Description
https://cognitiveservices.azure.com/.default

Examples

Add Face to PersonGroup Person

Sample Request

HTTP

POST {endpoint}/face/v1.1-preview.1/persongroups/your_person_group_id/persons/25985303-c537-4467-b41d-bdb45cd95ca1/persistedfaces?_overload=addPersonGroupPersonFace&targetFace=10,10,100,100&detectionModel=detection_01&userData=your_user_data

"<your-image-bytes-here>"

Sample Response

Status code:

200

{
  "persistedFaceId": "43897a75-8d6f-42cf-885e-74832febb055"
}

Definitions

Name	Description
AddFaceResult	Response body for adding face.
DetectionModel	The 'detectionModel' associated with the detected faceIds. Supported 'detectionModel' values include 'detection_01', 'detection_02' and 'detection_03'. The default value is 'detection_01'.
FaceError	The error object. For comprehensive details on error codes and messages returned by the Face Service, please refer to the following link: https://aka.ms/face-error-codes-and-messages.
FaceErrorResponse	A response containing error details.

AddFaceResult

Response body for adding face.

Name	Type	Description
persistedFaceId	string	Persisted Face ID of the added face, which is persisted and will not expire. Different from faceId which is created in "Detect" and will expire in 24 hours after the detection call.

DetectionModel

The 'detectionModel' associated with the detected faceIds. Supported 'detectionModel' values include 'detection_01', 'detection_02' and 'detection_03'. The default value is 'detection_01'.

Name	Type	Description
detection_01	string	The default detection model. Recommend for near frontal face detection. For scenarios with exceptionally large angle (head-pose) faces, occluded faces or wrong image orientation, the faces in such cases may not be detected.
detection_02	string	Detection model released in 2019 May with improved accuracy especially on small, side and blurry faces.
detection_03	string	Detection model released in 2021 February with improved accuracy especially on small faces.

FaceError

The error object. For comprehensive details on error codes and messages returned by the Face Service, please refer to the following link: https://aka.ms/face-error-codes-and-messages.

Name	Type	Description
code	string	One of a server-defined set of error codes.
message	string	A human-readable representation of the error.

FaceErrorResponse

A response containing error details.

Name	Type	Description
error	FaceError	The error object.