Optional
QualityA filter that specifies a quality bar for how much filtering is done to identify faces.
Filtered faces aren't compared. 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 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. The default value is NONE
.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
Optional
SimilarityThe minimum level of confidence in the face matches that a match must meet to be
included in the FaceMatches
array.
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.
The target 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.
The input for CompareFacesCommand.