Changes This release adds DeleteProject and DeleteProjectVersion APIs to Amazon Rekognition Custom Labels.
Changes This update adds the ability to detect text in videos and adds filters to image and video text detection.
Changes This SDK Release introduces APIs for Amazon Rekognition Custom Labels feature (CreateProjects, CreateProjectVersion,DescribeProjects, DescribeProjectVersions, StartProjectVersion, StopProjectVersion and DetectCustomLabels). Also new is AugmentedAI (Human In The Loop) Support for DetectModerationLabels in Amazon Rekognition.
Changes This release adds enhanced face filtering support to the IndexFaces API operation, and introduces face filtering for CompareFaces and SearchFacesByImage API operations.
Changes Adding new Emotion, Fear
Changes GetContentModeration now returns the version of the moderation detection model used to detect unsafe content.
Changes GetLabelDetection now returns bounding box information for common objects and a hierarchical taxonomy of detected labels. The version of the model used for video label detection is also returned. DetectModerationLabels now returns the version of the model used for detecting unsafe content.
Changes This release updates the DetectFaces and IndexFaces operation. When the Attributes input parameter is set to ALL, the face location landmarks includes 5 new landmarks: upperJawlineLeft, midJawlineLeft, chinBottom, midJawlineRight, upperJawlineRight.
Changes This release updates the DetectLabels operation. Bounding boxes are now returned for certain objects, a hierarchical taxonomy is now available for labels, and you can now get the version of the detection model used for detection.
Changes This release updates the Amazon Rekognition IndexFaces API operation. It introduces a QualityFilter parameter that allows you to automatically filter out detected faces that are deemed to be of low quality by Amazon Rekognition. The quality bar is based on a variety of common use cases. You can filter low-quality detected faces by setting QualityFilter to AUTO, which is also the default setting. To index all detected faces regardless of quality, you can specify NONE. This release also provides a MaxFaces parameter that is useful when you want to only index the most prominent and largest faces in an image and don't want to index other faces detected in the image, such as smaller faces belonging to people standing in the background.
Changes This release introduces a new API called DescribeCollection to Amazon Rekognition. You can use DescribeCollection to get information about an existing face collection. Given the ID for a face collection, DescribeCollection returns the following information: the number of faces indexed into the collection, the version of the face detection model used by the collection, the Amazon Resource Name (ARN) of the collection and the creation date/time of the collection.
Changes This release introduces Amazon Rekognition support for video analysis.
Changes This release includes updates to Amazon Rekognition for the following APIs. The new DetectText API allows you to recognize and extract textual content from images. Face Model Versioning has been added to operations that deal with face detection.
Changes Update the enum value of LandmarkType and GenderType to be consistent with service response
Changes API Update for AmazonRekognition: Adding RecognizeCelebrities API
Changes Updated the CompareFaces API response to include orientation information, unmatched faces, landmarks, pose, and quality of the compared faces.
Changes Given an image, the API detects explicit or suggestive adult content in the image and returns a list of corresponding labels with confidence scores, as well as a taxonomy (parent-child relation) for each label.
Changes DetectFaces and IndexFaces operations now return an estimate of the age of the face as an age range.
Changes Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.