World Archive Mono — India Workplace Egocentric Manipulation
Ground-truth egocentric manipulation from the Indian real economy — robot-ready labels, not just video.
A public evaluation sample from World Archive. We run managed, consent-first egocentric capture at real Indian workplaces — factories, kitchens, repair bays, workshops — and ship a full annotation stack built for training and evaluating manipulation policies, VLA models, and world models.
Nine egocentric video clips of real manual work in Indian workplaces: factory packaging, industrial sewing, heat-shrink batching, garment ironing, commercial catering, cane weaving, car detailing, auto-body primer/painting, and denting/filing. Each clip ships with temporal action segments, per-frame hand keypoints, object bounding boxes, hand–object contact samples, metadata, QA flags, and commercial AI-training consent documentation.
Source: Managed partner-site capture (not contributor apps). Head-mounted smartphone rigs operated by workers under documented consent.
Geography: India — factory floors, restaurants, roadside shops, showrooms, and repair bays across the real economy.
Intended use: Training and evaluating vision-language-action models, imitation learning, hand-object interaction research, egocentric video understanding, and physical-AI benchmarks in industrial and service settings.
Out of scope: Surveillance, worker performance scoring, biometric identification, or any use that re-identifies participants.
Generalization in manipulation is bottlenecked by distribution diversity. Most public ego data skews Western, kitchen/household, or lab teleop. World Archive contributes real industrial and service-economy manipulation with the spatial and temporal labels policies consume (hand pose, contact, verb–noun, object grounding).
Capture & QA pipeline
Capture — managed partner sites, headband ego rig
Consent — commercial AI-training consent before delivery
Sample size — 9 clips for evaluation, not pretraining at scale.
Geography — India workplaces only; not globally representative.
Monocular — no wrist camera, depth, or IMU in this sample (see Pro tier).
Object boxes — sampled ~1 Hz, not dense per-frame.
Hand keypoints — estimated 2D (MediaPipe), not metric 3D ground truth.
License — CC BY-NC 4.0 for evaluation; production commercial training requires a separate license.
License
This evaluation sample is released under CC BY-NC 4.0. Commercial production training and enterprise delivery are available under separate terms — contact shubham@worldarchive.co.
