Manifest-level curation with quality gates, supplied hashes and feature vectors, a reason for every rejection, and a human queue for borderline duplicates.
Public · synthetic demoConfirmed duplicates need deterministic rejection reasons; borderline pairs need human review instead of automatic deletion.
| stage | measured result |
|---|---|
| corrupt ingest | 1 |
| passed quality gate | 48 |
| duplicate groups | 3 |
| dropped as duplicate | 3 |
ep_0003 ↔ ep_0046 metric: hamming value: 6 verdict: review queue — not auto-dropped
The manifest also reports task coverage and imbalance; it does not reinterpret those counts as training utility.
The tool operates on a manifest plus provided hashes and feature vectors, not raw pixels, video, point clouds, or sensor streams. Hamming and cosine thresholds are heuristics. Borderline duplicates are never auto-resolved.