Task and action segmentation
Define task boundaries, action steps and timestamp conventions for sequences such as appliance handling or textile manipulation.
Veda Solutions // Client projects
Turn first-person recordings into structured task and interaction labels for embodied AI and robot manipulation, with project-specific guidelines and in-house annotation review.
25+ in-house annotation professionals · Collection, annotation, processing, QC and delivery
For teams with existing POV footage or a new collection program. Agree what each action, object and interaction means in your dataset rather than applying a generic labeling taxonomy.
Define task boundaries, action steps and timestamp conventions for sequences such as appliance handling or textile manipulation.
Scope object detection, tracking and hand–object interaction labels around the entities relevant to your model.
Discuss pose or keypoint requirements, ambiguous frames, occlusions and consistency checks across clips.
Align tasks, data sources, annotation guidelines, volume, delivery structure and acceptance criteria with your team.
Discuss a representative batch for your technical team to review before agreeing the wider program. Pilot size, cost and timing are quoted per project.
Refine the guidelines from review feedback, agree quality checks and plan delivery batches around the approved scope.
Deliverables, pricing, capacity, timelines and usage rights are agreed for each engagement. LeRobot, RLDS and HDF5 requirements can be discussed; they are not advertised as standard supported exports.
Dataset structure and delivery formats
Our sample showcase includes kitchen appliance, textile, upholstery and furniture-care recordings. Request a sample relevant to your task or labeling brief; availability and sharing terms are confirmed by our team.
View the dataset showcaseThe showcase manifest and quality checklist are illustrative, not a downloadable production dataset.
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