[ aws . rekognition ]
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
See ‘aws help’ for descriptions of global parameters.
create-collection
--collection-id <value>
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--collection-id
(string)
ID for the collection that you are creating.
--tags
(map)
A set of tags (key-value pairs) that you want to attach to the collection.
key -> (string)
value -> (string)
Shorthand Syntax:
KeyName1=string,KeyName2=string
JSON Syntax:
{"string": "string"
...}
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
See ‘aws help’ for descriptions of global parameters.
Note
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To create a collection
The following create-collection
command creates a collection with the specified name.
aws rekognition create-collection \
--collection-id "MyCollection"
Output:
{
"CollectionArn": "aws:rekognition:us-west-2:123456789012:collection/MyCollection",
"FaceModelVersion": "4.0",
"StatusCode": 200
}
For more information, see Creating a Collection in the Amazon Rekognition Developer Guide.
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.