rekognition_detect_faces: Detects faces within an image that is provided as input

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

Detects faces within an image that is provided as input

Description

Detects faces within an image that is provided as input.

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

Usage

rekognition_detect_faces(Image, Attributes = NULL)

Arguments

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 is not 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.

Attributes

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). Note that while the FaceOccluded and EyeDirection attributes are supported when using detect_faces, they aren't supported when analyzing videos with start_face_detection and get_face_detection.

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