Frame-accurate tracking and event labeling.
Overview
What is video annotation?
Video annotation tracks objects and events across frames with a temporal consistency static labeling cannot give, so models understand motion, activity and change over time.
Autonomous vehicles, surveillance and sports analytics all depend on frame-accurate tracking. One dropped frame or ID switch teaches a model the wrong physics.
Persistent ID tracking across frames with occlusion handling.
Action and event labeling for behavior-understanding models.
Automated validation of trajectory smoothness across sequences.
Dense scenes with hundreds of simultaneous tracks.
Workflow
How we do it
- 01Video segmentation
Long videos are split into batches for parallel processing and quality control.
- 02Keyframe annotation
Annotators label key frames with full spatial and semantic annotation.
- 03Temporal tracking
AI-assisted interpolation propagates labels across frames, verified by annotators.
- 04Consistency review
Temporal QA validates ID continuity, trajectory smoothness and occlusion handling.
- 05Delivery
Frame-level annotations in your format, with temporal metadata and a QA report.
Case study
Track player and ball movement across 10,000 hours of match footage
Multi-object tracking pipeline with jersey-number ID resolution and event tagging.
Ready to get startedwith video annotation?
Tell us about your project and we will scope a pilot within 48 hours.