Amazon Rekognition provides a comprehensive set of face detection, analysis, and recognition features for image and video analysis. Today, we are launching accuracy enhancements to the face analysis features. This is the fifth model update overall since the service launched. Face analysis generates rich metadata about detected faces in the form of gender, age range, emotions, attributes such as ‘Smile’, ‘Eyeglasses’ and ‘Beard’, face pose, face image quality and face landmarks. With this release, we have improved the accuracy of gender identification, emotion detection (for all 7 supported emotions: ‘Happy’, ‘Sad’, ‘Angry’, ‘Surprised’, ‘Disgusted’, ‘Calm’ and ‘Confused’) and attributes such as ‘EyesOpen’. This release is particularly useful for customers who need to search and categorize large photo collections. For example, using face analysis, customers can easily find all photos that contain smiling people, or all photos with men who have beards and are wearing sunglasses.
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