rekognition_search_users: Searches for UserIDs within a collection based on a FaceId or...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Searches for UserIDs within a collection based on a FaceId or UserId

Description

Searches for UserIDs within a collection based on a FaceId or UserId. This API can be used to find the closest UserID (with a highest similarity) to associate a face. The request must be provided with either FaceId or UserId. The operation returns an array of UserID that match the FaceId or UserId, ordered by similarity score with the highest similarity first.

See https://www.paws-r-sdk.com/docs/rekognition_search_users/ for full documentation.

Usage

rekognition_search_users(
  CollectionId,
  UserId = NULL,
  FaceId = NULL,
  UserMatchThreshold = NULL,
  MaxUsers = NULL
)

Arguments

CollectionId	[required] The ID of an existing collection containing the UserID, used with a UserId or FaceId. If a FaceId is provided, UserId isn’t required to be present in the Collection.
UserId	ID for the existing User.
FaceId	ID for the existing face.
UserMatchThreshold	Optional value that specifies the minimum confidence in the matched UserID to return. Default value of 80.
MaxUsers	Maximum number of identities to return.

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.