Industrial Workplace Egocentric FHD Samples Dataset
Industrial manipulation examples
A small MIT-licensed set of industrial and workplace egocentric video samples for robotics, VLA, imitation learning, and manipulation demos.
Industrial manipulation examples
Useful for examples and smoke tests; scale is intentionally small.
Inspect schema and run a bounded sample audit before committing to the full release.
Observation/action alignment has not been established.
not scored · confidence 15
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
fit 68 · confidence 50
No verified failure/recovery annotation evidence is available yet.
not scored · confidence 15
Verified facts and provenance
Claims, metadata verification, and sample verification are shown separately.
Unknown — no machine-readable schema facts have been captured.
Unknown — metadata conclusions do not prove sample coverage, alignment, or file integrity.
Declared loop signal coverage
Signals inferred from official metadata; Data pipeline verification is still pending.
Observation / ego video
video · Open workplace-video ingestion tests · A small MIT-licensed set of industrial and workplace egocentric video samples for robotics, VLA, imitation learning, and manipulation demos.
Action / hand pose / robot state
Industrial manipulation examples · A small MIT-licensed set of industrial and workplace egocentric video samples for robotics, VLA, imitation learning, and manipulation demos.
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
industrial tasks · workplace labels
Feedback / correction / failure
No decision-grade evidence captured yet.
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · MIT · video · text metadata
Catalog decision scorecard
Access and license are declared by the source.
fit 75 · confidence 85
No machine-readable schema has been verified yet.
not scored · confidence 15
Observation/action alignment has not been established.
not scored · confidence 15
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
fit 68 · confidence 50
No verified failure/recovery annotation evidence is available yet.
not scored · confidence 15
Scale is declared; transfer and processing estimates are not measured.
fit 65 · confidence 65
Good tasks
Blockers and unresolved evidence
- Gaze / attentionunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Feedback / correction / failureunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Sim-real pairingunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Raw dataset signals
OpenBot fit
- Industrial manipulation examples
- Open workplace-video ingestion tests
- Domain-specific dataset search demos
Integration notes
- Useful for examples and smoke tests; scale is intentionally small.
- MIT license makes it easier to reference in open demos.