OpenBot
Platform
Egocentric datasetUnknown
OBRS 18•Bronze

HOI4D

HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction

Scale
Not declared
Formats
Not declared
License
MIT
Published
2022
Official sourceAll recordsDataset index A–ZRun local preflightRequest scoped audit

Decision summary

Best for

HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction

Main blocker

No verified blocker is published; unresolved facts remain unknown.

Next check

Read the dataset manifest and feature schema.

Release history

Source-backed release timing for this canonical dataset record.

Important releases

No source-backed day-level release date is published for this dataset. Its year is not being converted into an inferred event.

Ego research graph

Related research

Reviewed paper relationships connect this source record to training roles. They do not imply a general model-performance claim.

  1. Introduces dataset · CVPR · 2022

    HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction

    Paper

    Introduces the HOI4D RGB-D interaction corpus.

    Training effectsPerception closer to action

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

—

Provisional

0/6 dimensions scored · 15% confidence

Access and governanceNot scoredconf. 20
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 readinessNot scoredconf. 10
Read the evidence behind all 6 dimensions

Access and governance

Access and license are declared by the source.

unknownnot scored · confidence 20

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

Dataset scale and sampling path are unknown.

unknownnot scored · confidence 10
Review unresolved evidence and next checks

Signal gaps

  • Observation / ego video. Not enough evidence is available to classify this signal.
  • Gaze / attention. Not enough evidence is available to classify this signal.
  • Language intent / task phase. Not enough evidence is available to classify this signal.
  • Feedback / correction / failure. 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
leolyliu
Evidence
secondary claim
Formats
Not declared
Read paper

Loop signals

2/7 present or partial

Observation / ego video

No decision-grade evidence captured yet.

unknown
Gaze / attention

No decision-grade evidence captured yet.

unknown
View 5 more signal categories
Action / hand pose / robot state

HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction

partial
Language intent / task phase

No decision-grade evidence captured yet.

unknown
Feedback / correction / failure

No decision-grade evidence captured yet.

unknown
Sim-real pairing

No decision-grade evidence captured yet.

unknown
License / format / access

Unknown · MIT

partial
Evidence details and provenance

Official signal claims

Schema and annotations

No machine-readable schema facts are captured.

Sample verification

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

curated official source

Integration notes

No integration notes are published.