Egocentric Affordance Dataset
Affordance pretraining
A CC-BY-4.0 egocentric image dataset with affordance, task, and view labels for robotics and embodied-AI perception tasks.
Affordance pretraining
Useful for dataset curation labels even when source videos are not robot trajectories.
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
images · image paths · Useful for dataset curation labels even when source videos are not robot trajectories. · A CC-BY-4.0 egocentric image dataset with affordance, task, and view labels for robotics and embodied-AI perception tasks.
Action / hand pose / robot state
Object interaction mining · Manipulation-relevant frame filtering
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
affordance label · task label · view label · Useful for dataset curation labels even when source videos are not robot trajectories.
Feedback / correction / failure
affordance label · Affordance pretraining · A CC-BY-4.0 egocentric image dataset with affordance, task, and view labels for robotics and embodied-AI perception tasks. · Hugging Face · Kavin60606/egocentric-affordance-dataset
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · CC-BY-NC · image paths · metadata tables
Catalog decision scorecard
The declared license restricts commercial use.
fit 35 · 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.
- 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
- Affordance pretraining
- Object interaction mining
- Manipulation-relevant frame filtering
Integration notes
- Useful for dataset curation labels even when source videos are not robot trajectories.
- Open license requires attribution.