Hard gates first.
Capture integrity, visibility, contact, and transferability checks run before anything is allowed into a training set.
EgoArenaRobots Need Data Quality & Diversity.
EgoArena turns raw egocentric video into training signal: bad clips filtered, coverage measured, reviewers tested, consensus weighted, and policies trained on the result.
12datasets evaluating
65,040+clips reviewed
10,014hours reviewed
The quality pyramid
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Keep your data from being a commodity by using our data quality & diversity platform.
Scarce + high valueCleaner signal compounds upward
Level 6
Policy resultsrollouts prove what helped
Outcome
Level 5
Weighted training setclips ranked by signal
Highest
Level 4
Trusted labelstested reviewers, hidden checks
Trusted
Level 3
Coverage maptasks, objects, environments
Diverse
Level 2
Hard gatesvisibility, contact, capture
Filtered
Level 1
Raw robot videoabundant and noisy
Common
Common + noisy at the base. EgoArena turns useful clips into signal.
How EgoArena scores
Every clip gets a training-signal score.
Map the coverage.
Scenes, tasks, objects, cameras, operators, and failure modes are measured for saturation.
Route the segments.
Clean windows train, uncertain windows go to review, and corrupted boundaries stay out.
For dataset builders
Find the clips worth training on.
Submit raw egocentric data. EgoArena turns noisy clips into ranked, reviewable signal.