Video annotation is the process of labeling and tagging objects, actions, or events in video frames to create datasets for training machine learning models. It involves drawing bounding boxes, polygons, or key points around objects and associating them with specific labels, such as "car" or "pedestrian." Video annotation is critical for tasks like object detection, action recognition, and scene understanding. Tools like Labelbox, V7, and CVAT facilitate the annotation process by providing user-friendly interfaces and support for tracking objects across frames. Annotated videos are essential for training and validating AI models in fields such as autonomous driving, surveillance, and sports analytics.
What is video annotation?
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