OpenBot
Platform
Manipulation datasetClosed
OBRS 19•Bronze

EgoTracks

An Ego4D benchmark focused on tracking objects through heavy hand interaction, occlusion, viewpoint changes, and object disappearance/reappearance.

Scale
5.9K clips
Formats
JSON annotations · Ego4D video
License
Ego4D License Agreement
Published
2023-05-05
Official sourceAll recordsDataset index A–ZRun local preflightRequest scoped audit

Decision summary

Best for

Object persistence in robot tasks

Main blocker

Useful for Bench/Data integration when failures involve losing an object through a manipulation step.

Next check

Read the dataset manifest and feature schema.

Release history

Source-backed release timing for this canonical dataset record.

Important releases

  1. Dataset series published

    Release timing is anchored to the cited paper publication date.

    Cited paper

Selection readiness

6 evidence dimensions for deciding whether this dataset is ready to inspect, compare, or adopt. This is not a model benchmark.

Catalog evidence · not task performance

70/100

Provisional

2/6 dimensions scored · 35% confidence

Access and governance75conf. 85
Schema and signal coverageNot scoredconf. 15
Policy training readinessNot scoredconf. 15
World-model readinessNot scoredconf. 15
Failure and recovery readinessNot scoredconf. 15
Download and processing readiness65conf. 65
Read the evidence behind all 6 dimensions

Access and governance

Access and license are declared by the source.

usefulfit 75 · confidence 85

Schema and signal coverage

No machine-readable schema has been verified yet.

unknownnot scored · confidence 15

Policy training readiness

Observation/action alignment has not been established.

unknownnot scored · confidence 15

World-model readiness

World-model observation, geometry, or temporal semantics are not verified.

unknownnot scored · confidence 15

Failure and recovery readiness

No verified failure/recovery annotation evidence is available yet.

unknownnot scored · confidence 15

Download and processing readiness

Scale is declared; transfer and processing estimates are not measured.

usefulfit 65 · confidence 65
Review unresolved evidence and next checks

Signal gaps

  • Gaze / attention. Not enough evidence is available to classify this signal.
  • Sim-real pairing. Not enough evidence is available to classify this signal.

Next checks

  • Read the dataset manifest and feature schema.
  • Run a bounded sample audit before assigning Strong readiness.

Dataset facts

Source
Ego4D
Evidence
official claim
Formats
JSON annotations · Ego4D video
tracks
22.42K
clips
5.9K
train
3.6K
Read paper

Loop signals

5/7 present or partial

Gaze / attention

No decision-grade evidence captured yet.

unknown
Sim-real pairing

No decision-grade evidence captured yet.

unknown
View 5 more signal categories
Observation / ego video

Ego4D video

present
Action / hand pose / robot state

Occlusion-heavy hand-object tracking · Useful for Bench/Data integration when failures involve losing an object through a manipulation step. · An Ego4D benchmark focused on tracking objects through heavy hand interaction, occlusion, viewpoint changes, and object disappearance/reappearance.

partial
Language intent / task phase

JSON annotations · Object persistence in robot tasks

partial
Feedback / correction / failure

Occlusion-heavy hand-object tracking · Failure replay around lost targets · Useful for Bench/Data integration when failures involve losing an object through a manipulation step. · An Ego4D benchmark focused on tracking objects through heavy hand interaction, occlusion, viewpoint changes, and object disappearance/reappearance.

present
License / format / access

Closed · Ego4D License Agreement · JSON annotations · Ego4D video

present
Evidence details and provenance

Official signal claims

Bounding BoxesObject TemplatesPresence Scores

Schema and annotations

No machine-readable schema facts are captured.

Sample verification

Pending. Metadata does not prove sample coverage, alignment, or file integrity.

curated source metadata

Integration notes

  • Useful for Bench/Data integration when failures involve losing an object through a manipulation step.
  • Part of Ego4D, so access follows Ego4D terms.