Amazon Rekognition
Developer Guide


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.


Collection names are case-sensitive.

This operation requires permissions to perform the rekognition:CreateCollection action.

Request Syntax

{ "CollectionId": "string" }

Request Parameters

The request accepts the following data in JSON format.


ID for the collection that you are creating.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: [a-zA-Z0-9_.\-]+

Required: Yes

Response Syntax

{ "CollectionArn": "string", "FaceModelVersion": "string", "StatusCode": number }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.


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

Type: String


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

Type: String


HTTP status code indicating the result of the operation.

Type: Integer

Valid Range: Minimum value of 0.



You are not authorized to perform the action.

HTTP Status Code: 400


Amazon Rekognition experienced a service issue. Try your call again.

HTTP Status Code: 500


Input parameter violated a constraint. Validate your parameter before calling the API operation again.

HTTP Status Code: 400


The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.

HTTP Status Code: 400


A collection with the specified ID already exists.

HTTP Status Code: 400


Amazon Rekognition is temporarily unable to process the request. Try your call again.

HTTP Status Code: 500


Example Request

The following example shows a request that creates a collection named mycollection.

Sample Request

POST HTTP/1.1 Host: Accept-Encoding: identity Content-Length: 32 X-Amz-Target: RekognitionService.CreateCollection X-Amz-Date: 20170105T155520Z User-Agent: aws-cli/1.11.25 Python/2.7.9 Windows/8 botocore/1.4.82 Content-Type: application/x-amz-json-1.1 Authorization: AWS4-HMAC-SHA256 Credential=XXXXXXXXXXXXXXXXXX/20170105/us-west-2/rekognition/aws4_request, SignedHeaders=content-type;host;x-amz-date;x-amz-target, Signature=XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX {"CollectionId": "mycollection"}

Sample Response

HTTP/1.1 200 OK Content-Type: application/x-amz-json-1.1 Date: Thu, 05 Jan 2017 15:55:22 GMT x-amzn-RequestId: 5d4c8b73-d35f-11e6-96d5-039839f35287 Content-Length: 99 Connection: keep-alive { "CollectionArn":"aws:rekognition:us-west-2:11111111111:collection/mycollection", "FaceModelVersion":"2.0", "StatusCode":200 }

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: