rekognition_index_faces: Detects faces in the input image and adds them to the...

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

Detects faces in the input image and adds them to the specified collection

Description

Detects faces in the input image and adds them to the specified collection.

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

Usage

rekognition_index_faces(
  CollectionId,
  Image,
  ExternalImageId = NULL,
  DetectionAttributes = NULL,
  MaxFaces = NULL,
  QualityFilter = NULL
)

Arguments

CollectionId	[required] The ID of an existing collection to which you want to add the faces that are detected in the input images.
Image	[required] The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported. If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
ExternalImageId	The ID you want to assign to all the faces detected in the image.
DetectionAttributes	An array of facial attributes you want to be returned. A DEFAULT subset of facial attributes - BoundingBox, Confidence, Pose, Quality, and Landmarks - will always be returned. You can request for specific facial attributes (in addition to the default list) - by using ⁠["DEFAULT", "FACE_OCCLUDED"]⁠ or just ⁠["FACE_OCCLUDED"]⁠. You can request for all facial attributes by using ⁠["ALL"]⁠. Requesting more attributes may increase response time. If you provide both, ⁠["ALL", "DEFAULT"]⁠, the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
MaxFaces	The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. index_faces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces. If index_faces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array. The faces that are returned by index_faces are sorted by the largest face bounding box size to the smallest size, in descending order. MaxFaces can be used with a collection associated with any version of the face model.
QualityFilter	A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.