Managing face collections, faces, and users - Amazon Rekognition

Managing face collections, faces, and users

The face collection is the resource used by Amazon Rekognition for containing information related to faces and users. You use various Rekognition API operations to manage the collection itself, as well as any faces or face vectors stored in the collection.

Managing a collection

The face collection is the primary Amazon Rekognition resource, and each face collection you create has a unique Amazon Resource Name (ARN). You create each face collection in a specific AWS Region in your account. When a collection is created, it's associated with the most recent version of the face detection model. For more information, see Understanding model versioning.

You can perform the following management operations on a collection:

Managing faces in a collection

After you create a face collection, you can store faces in it. Amazon Rekognition provides the following operations for managing faces in a collection:

Managing users in a collection

After you store multiple face vectors from the same person, you can improve accuracy by associating all of those face vectors into one user vector. You can use the following operations to manage your users:

  • CreateUser - Operation creates a new user in a collection with a provided unique user ID.

  • AssociateUsers - Add 1 - 100 unique face IDs to a user ID. After you associate at least one face ID to a user, you can search for matches against that user in your collection.

  • ListUsers - Lists the users in a collection.

  • DeleteUsers - Deletes a user from a collection with the provided user ID.

  • DisassociateFaces - Removes one or more face IDs from a user.