Video Annotation

Similar to image annotation but applied to video sequences. We label objects, actions, and events within video frames over time for training AI in video analysis.

Video annotation is based on the concept of image annotation. For video annotation, we capture spatial and temporal information—tracking objects across frames, identifying actions, and segmenting scenes to train models for autonomous driving, surveillance, sports analytics, and more.

Capabilities

  • Object tracking across frames
  • Action recognition labeling
  • Event detection & tagging
  • Frame-level and timeline annotations
  • Multi-modal video + audio labeling

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