Video annotation
Timestamp actions, identify interactions and describe what the footage supports.
Video annotation
for AI development
Canadian experts label actions, interactions and outcomes in video.
Vehicles tracked across frames, with persistent object labels, motion paths and a defined crossing zone.
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Video annotation
and model evaluation
Model evaluation
Review video descriptions and answers against visible evidence and task criteria.
Expert quality review
Resolve ambiguity, correct labels and document the reasoning behind each decision.
Define the annotation requirements
Agree the footage, label schema, permitted use and acceptance criteria.
Prepare the reviewers
Review a shared sample. Resolve ambiguity before production begins.
Annotate and review the footage
Annotate the footage, check outputs and adjudicate material disagreements.
Deliver the reviewed data
Deliver approved annotations, corrected examples and documented quality findings.
Video AI applications
Industrial workflows
Assembly, maintenance and logistics sequences.
Actions · Constraints · CompletionRobotics & automation
Task demonstrations and human–object interactions.
Steps · Interactions · RecoveryHuman activity
Movement, instruction-following and task outcomes.
Motion · Sequence · ContextVideo-language systems
Captions, temporal questions and scene descriptions.
Evidence · Timing · UncertaintyProject deliverables
Work begins with client-approved footage. Collection and specialist capture are scoped separately.
- Training data
- Timestamped events, action descriptions and corrected examples.
- Evaluation
- Agreed rubrics, expert scores and evidence-linked findings.
- Quality
- Review coverage, disagreement resolution and known limitations.
- Canadian delivery
- Reviewer location, approved workspaces and data access set by contract.