Accepted inputs
- Operational and robotic video
- Egocentric video
- Frame sequences with timestamps
- Existing model suggestions requiring human verification
TEMPORAL VIDEO DATA
Temporal Action and Event Annotation
Temporal annotation identifies what happened and when. We mark action or event intervals against a defined taxonomy, distinguish observable actions from inferred intent, and apply consistent boundary rules to starts, transitions and endings.
SCOPE
What this service covers
Action start and end timestampsEvent and state-transition labelsOutcome and completion statesMulti-step activity segmentsObject-action relationshipsFrame-level and interval-level attributes
Annotation approach
- Operational event taxonomy mapping
- Start/end boundary definitions
- Overlapping and nested action rules
- Uncertain and unobservable state handling
- Temporal consistency review
Common edge cases
- Gradual action onset
- Interrupted or incomplete actions
- Concurrent activities
- Visually similar actions
- Actions hidden by occlusion or camera movement
QUALITY ASSURANCE
Review that follows the guideline
Quality checks are selected for the data type and acceptance criteria. Metrics and review coverage depend on the project, platform and agreed workflow.
Boundary-frame reviewAction-class and outcome validationOverlap and sequence-consistency checksAmbiguity loggingTimestamp and export validation
Applications
- Robotic manipulation
- Warehouse and logistics operations
- Human activity recognition
- Safety-event analysis
- Workflow and task understanding
Output formats
- Timestamped JSON
- Frame-index CSV
- Segment manifests
- Client-defined temporal schemas
What to include in your brief
- Action and event taxonomy
- Boundary examples
- Rules for overlap and interruption
- Required timestamps or frame indices
- Outcome definitions and acceptance criteria
START WITH A CALIBRATION BATCH
Reduce uncertainty before production.
Share your guidelines, sample characteristics, volume, preferred platform and timeline. We’ll assess the scope and propose a representative calibration step.
Discuss your dataset