Rapid viewpoint changes
Head motion creates blur, temporary object loss, and uncertain boundaries.
Egocentric Data · First-Person Video
Egocentric data records what an operator sees, touches, and does. Rapid viewpoint changes, hand occlusion, and continuous motion make egocentric data annotation more complex than ordinary video labeling.
KeenTruth turns continuous egocentric video into training data with explicit task hierarchy, action semantics, object relationships, and quality outcomes.
Head motion creates blur, temporary object loss, and uncertain boundaries.
Hands, tools, and targets frequently occlude one another.
Long tasks require a consistent decomposition hierarchy.
People use different sequences, speeds, and habits for the same task.
FAQ
Egocentric data records tasks and interactions from the operator’s own perspective, showing objects, hand actions, tool use, and task state together.
Customers can provide one, or KeenTruth can help define it from sample tasks and model goals.
The specification defines visible, partially occluded, fully occluded, and indeterminate cases.
Yes. Annotation modules can be combined according to the model task and budget.
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Tell us about your data, annotation requirements, and quality expectations.