Hands passing a glass on a worktable — illustrative task imagery

Human annotation for AI & robotics

Ambrose
Groups

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 output
Time-aligned segmentsAction · object · handIndependent reviewStructured exports

The deliverable

Clear enough to check.
Structured enough to use.

Illustrative label format. Your project’s vocabulary, timing and acceptance criteria are agreed before work begins.

ANNOTATION SAMPLEIllustrative · not client footage
Time (s)Segment labelActionObjectHand
00–05pick up cup with right handpick upcupright
05–10pass cup to left handpasscupleft
10–15place cup on table with left handplacecupleft

Services

From video to usable data.

01

Action segmentation

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

02

Hand–object annotation

Identify what is handled, which hand is used and how the action unfolds, following your labelling guide.

03

Human quality review

Separate labelling and audit stages, scored decisions and a further review path for disagreements.

04

Review-ready delivery

Structured label data and playable review files with time-aligned captions, actions, objects and hands.

Quality & accountability

Not just labels.
A process you can review.

Agree the standard. Review a sample. Inspect the results. Build the dataset around your requirements, not a generic promise.

  1. 01

    Train to the task

    Labelling notes and scored video tests prepare annotators for the required format.

  2. 02

    Review the work

    Auditors review labels against the video. Disputed decisions can be checked by another reviewer.

  3. 03

    Check the structure

    Short clips, consecutive timestamps and complete labels are checked before eligible videos enter export.

  4. 04

    Keep the record

    Reviewer attribution and label history make decisions traceable through revisions.

Start a conversation

Let’s scope your dataset.

Tell us about your footage, labelling guide, output format and timeline. We’ll discuss the scope and a pilot before you commit.