// field_data_capture
First-person video data for embodied AI.
Datafy Lab helps robotics and AI teams capture human point-of-view video data for task learning, imitation learning, manipulation understanding, and real-world behavior modeling.
// what_we_capture
The human POV your robot learns from.
Human POV task videosHand-object interactionsTool usageWorkplace workflowsHousehold-like tasksWarehouse tasksRetail tasksFactory tasksStep-by-step demonstrationsSuccess & failure examples
REC · POV_CAM_01
00:04:17:08
Replace with real POV footage// annotation_types
Labeled for action, not just objects.
- Action segmentation
- Step-wise task labeling
- Object tracking
- Hand-object interaction labels
- Keypoint annotation
- Temporal event tagging
- Task completion markers
- Failure reason tagging
- Environment metadata
// use_cases
Built for VLA & imitation learning.
- Humanoid robotics
- Imitation learning
- Robot manipulation
- Embodied AI
- Vision-language-action models
- Warehouse automation
- Workplace task automation
// faq
Common questions
First-person, human point-of-view footage of tasks being performed. It captures how a person sees, reaches, grasps, and acts — ideal for imitation learning and embodied AI.
Yes. We design and run capture programs across warehouses, factories, retail, farms, roads, and facilities with consent, metadata, QA, and delivery standards.
Action segmentation, step-wise labeling, object tracking, hand-object interaction, keypoints, temporal tagging, task completion markers, and failure reason tagging.
Yes — we can audit, re-annotate, or extend datasets you already have, and design targeted egocentric capture to fill gaps.
Each qualified dataset ships with a Model-Ready Data Certificate covering rights, privacy, coverage, balance, annotation quality, limitations, and readiness.
Book a Data Failure Audit or a capture-scoping call. We'll define the exact egocentric data your model needs next.