Egocentric datasetUnknown

OBRS 18•Bronze

EgoExoLearn

EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World

Scale: Not declared
Formats: Not declared
License: mit
Published: 2024

Official source All records Dataset index A–Z Run local preflight Request scoped audit

Decision summary

Best for

EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World

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.

Introduces dataset · CVPR · 2024
EgoExoLearn: Bridging Asynchronous Ego- and Exo-centric Procedural Activities
Paper
Introduces the EgoExoLearn procedural-activity corpus.
Training effectsDemonstrations across viewpoints

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.
Action / hand pose / robot state. 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: hyf015
Evidence: secondary claim
Formats: Not declared

Read paper