Action segmentation
Time-aligned labels that describe each action, with consecutive segments and clear start and end times.

Human annotation for AI & robotics
Precise video labels.
A reviewable record of every action.
From first-person tasks to hand–object interactions, we turn video into time-aligned labels your team can inspect.
Discuss a projectExplore the outputThe deliverable
Illustrative label format. Your project’s vocabulary, timing and acceptance criteria are agreed before work begins.
| Time (s) | Segment label | Action | Object | Hand |
|---|---|---|---|---|
| 00–05 | pick up cup with right hand | pick up | cup | right |
| 05–10 | pass cup to left hand | pass | cup | left |
| 10–15 | place cup on table with left hand | place | cup | left |
Services
Time-aligned labels that describe each action, with consecutive segments and clear start and end times.
Identify what is handled, which hand is used and how the action unfolds, following your labelling guide.
Separate labelling and audit stages, scored decisions and a further review path for disagreements.
Structured label data and playable review files with time-aligned captions, actions, objects and hands.
Quality & accountability
Agree the standard. Review a sample. Inspect the results. Build the dataset around your requirements, not a generic promise.
Labelling notes and scored video tests prepare annotators for the required format.
Auditors review labels against the video. Disputed decisions can be checked by another reviewer.
Short clips, consecutive timestamps and complete labels are checked before eligible videos enter export.
Reviewer attribution and label history make decisions traceable through revisions.
Start a conversation
Tell us about your footage, labelling guide, output format and timeline. We’ll discuss the scope and a pilot before you commit.
Joining the team? Sign in or apply