Amazon Rekognition Video is a deep learning-based video analysis service that can identify objects, people, text, scenes, and activities, as well as detect unsafe content. Object and Scene detection – also called label detection – can identify thousands of common objects and scenes in a video, as well as the timestamp for when each label appears. Amazon Rekognition Video has been updated to provide significantly improved accuracy for all existing labels across a variety of use cases. In addition, label detection can now specify the location of objects such as dogs, people, and cars in a video by returning bounding box for each object. A bounding box is a set of coordinates that precisely indicates a specific object location in a video frame. Customers can use the bounding box information to count objects (“3 cars”), and to understand the relationship between objects (“person next to a car”) at a particular timestamp in a video. Lastly, for each label found, Amazon Rekognition Video now returns its parent labels in a hierarchical list. For example, the label ‘Dog’ has the parents ‘Mammal’, ‘Canine’, and ‘Animal’. This metadata allows customers to group labels related by parent-child relationships to improve categorization and facilitates easier mapping to in-house taxonomies. No machine learning experience is required to get started.