Person Group Operations - Create Large Person Group

Service:

Azure AI Services

API Version:

v1.2-preview.1

Create a new Large Person Group with user-specified largePersonGroupId, name, an optional userData and recognitionModel.
A Large Person Group is a container holding the uploaded person data, including the face recognition features. It can hold up to 1,000,000 entities.

After creation, use "Create Large Person Group Person" to add person into the group, and call "Train Large Person Group" to get this group ready for "Identify From Large Person Group".

No image will be stored. Only the person's extracted face feature(s) and userData will be stored on server until "Delete Large Person Group Person" or "Delete Large Person Group" is called.

'recognitionModel' should be specified to associate with this Large Person Group. The default value for 'recognitionModel' is 'recognition_01', if the latest model needed, please explicitly specify the model you need in this parameter. New faces that are added to an existing Large Person Group will use the recognition model that's already associated with the collection. Existing face feature(s) in a Large Person Group can't be updated to features extracted by another version of recognition model.

Note

• • Free-tier subscription quota: 1,000 Large Person Groups.
  • S0-tier subscription quota: 1,000,000 Large Person Groups.

PUT {endpoint}/face/{apiVersion}/largepersongroups/{largePersonGroupId}

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).
largePersonGroupId	path	True	string	ID of the container. Regex pattern: ^[a-z0-9-_]+$

Request Body

Name	Required	Type	Description
name	True	string	User defined name, maximum length is 128.
recognitionModel		RecognitionModel	The 'recognitionModel' associated with this face list. Supported 'recognitionModel' values include 'recognition_01', 'recognition_02, 'recognition_03', and 'recognition_04'. The default value is 'recognition_01'. 'recognition_04' is recommended since its accuracy is improved on faces wearing masks compared with 'recognition_03', and its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
userData		string	Optional user defined data. Length should not exceed 16K.

Responses

Name	Type	Description
200 OK		The request has succeeded.
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

Create LargePersonGroup

Sample request

HTTP

PUT {endpoint}/face/v1.2-preview.1/largepersongroups/your_large_person_group_id

{
  "name": "your_large_person_group_name",
  "userData": "your_user_data",
  "recognitionModel": "recognition_01"
}

Sample response

Status code:

200

Definitions

Name	Description
CreateCollectionRequest	Model for creating face collection.
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.
RecognitionModel	The recognition model for the face.

CreateCollectionRequest

Model for creating face collection.

Name	Type	Default value	Description
name	string		User defined name, maximum length is 128.
recognitionModel	RecognitionModel	recognition_01	The 'recognitionModel' associated with this face list. Supported 'recognitionModel' values include 'recognition_01', 'recognition_02, 'recognition_03', and 'recognition_04'. The default value is 'recognition_01'. 'recognition_04' is recommended since its accuracy is improved on faces wearing masks compared with 'recognition_03', and its overall accuracy is improved compared with 'recognition_01' and 'recognition_02'.
userData	string		Optional user defined data. Length should not exceed 16K.

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.

RecognitionModel

The recognition model for the face.

Name	Type	Description
recognition_01	string	The default recognition model for "Detect". All those faceIds created before 2019 March are bonded with this recognition model.
recognition_02	string	Recognition model released in 2019 March.
recognition_03	string	Recognition model released in 2020 May.
recognition_04	string	Recognition model released in 2021 February. It's recommended to use this recognition model for better recognition accuracy.