Rekognition / Client / create_collection

create_collection#

Rekognition.Client.create_collection(**kwargs)#

Creates a collection in an AWS Region. You can add faces to the collection using the IndexFaces operation.

For example, you might create collections, one for each of your application users. A user can then index faces using the IndexFaces operation and persist results in a specific collection. Then, a user can search the collection for faces in the user-specific container.

When you create a collection, it is associated with the latest version of the face model version.

Note

Collection names are case-sensitive.

This operation requires permissions to perform the rekognition:CreateCollection action. If you want to tag your collection, you also require permission to perform the rekognition:TagResource operation.

See also: AWS API Documentation

Request Syntax

response = client.create_collection(
    CollectionId='string',
    Tags={
        'string': 'string'
    }
)
Parameters:

  • CollectionId (string) –

    [REQUIRED]

    ID for the collection that you are creating.

  • Tags (dict) –

    A set of tags (key-value pairs) that you want to attach to the collection.

    • (string) –

      • (string) –

Return type:

dict

Returns:

Response Syntax

{
    'StatusCode': 123,
    'CollectionArn': 'string',
    'FaceModelVersion': 'string'
}

Response Structure

  • (dict) –

    • StatusCode (integer) –

      HTTP status code indicating the result of the operation.

    • CollectionArn (string) –

      Amazon Resource Name (ARN) of the collection. You can use this to manage permissions on your resources.

    • FaceModelVersion (string) –

      Version number of the face detection model associated with the collection you are creating.

Exceptions

Examples

This operation creates a Rekognition collection for storing image data.

response = client.create_collection(
    CollectionId='myphotos',
)

print(response)

Expected Output:

{
    'CollectionArn': 'aws:rekognition:us-west-2:123456789012:collection/myphotos',
    'StatusCode': 200,
    'ResponseMetadata': {
        '...': '...',
    },
}