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Video Annotation
Video Annotation for Temporal Models
Enables models to interpret action, sequence, and temporal behavior across frames, not just static images.
Core Capabilities
- Frame-level classification and tagging
- Object tracking and temporal identity preservation
- Activity and event recognition with timestamps
- Scene segmentation and zone labeling
- Trajectory and motion pattern annotation
What Clients Get
Temporal event datasets that help models learn action dynamics. Behavioral and safety annotations for real-time AI systems.
Why It Matters
Video is rich with temporal context. Annotation that captures motion, activity chains, and event sequences boosts model understanding of real-world scenes.
