Amazon Rekognition is a deep learning-based image and video analysis service that can identify objects, people, text, scenes, and activities, as well as detect unsafe content. Today we are announcing a major update to object and scene detection, also known as label detection. Label detection identifies objects and scenes in images. Until now, Amazon Rekognition could identify the presence of an object in an image, but couldn’t find where the object is within the image. Amazon Rekognition can now specify the location of common objects such as dogs, people and cars in an image by returning object bounding boxes, and comes with significantly improved accuracy for all existing object and scene labels across a variety of use cases. In addition, customers can use the bounding box information to infer how many of each object (“3 dogs”) occur in the image, and the relationship between objects (“dog on a couch”). These new enhancements all come at no additional cost.