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Person Group Operations - Create Large Person Group

  • Reference
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

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.