Video Annotation
Consistent labels across frames, keeping each object’s identity stable and marking when actions and events start and end.
What we annotate
Common task types. Every project follows guidelines agreed with you at scoping.
Object tracking
Following each object across frames with a consistent ID.
Frame-by-frame labelling
Boxes, polygons, or masks on every frame or at set intervals.
Action & activity recognition
Labelling what people, animals, or machines are doing.
Event & temporal tagging
Marking the start and end time of events and scenes.
Re-identification
Matching the same person or object across cameras and clips.
Highlight & scene segmentation
Splitting long footage into scenes and key moments.
Used across industries
Where this service is most often applied.
AI Needs More Than Data.
Talk to our team about annotation programs, datasets, and enterprise AI infrastructure tailored to your domain.