Video annotation is a process that tags or labels objects, actions, or events within video data to make them understandable to machine learning algorithms. This is segmented from a video into frames and the specific elements of each frame are identified with appropriate metadata assigned to them. Such annotated videos provide the basis for training AI systems in doing object detection, activity recognition, and motion analysis.