derive cleaner min-4px YOLO corpus
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This commit is contained in:
Jens
2026-08-09 19:51:17 +02:00
parent 736e773fb8
commit 2de438b9cc
9 changed files with 471 additions and 25 deletions
+6 -3
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@@ -1164,9 +1164,12 @@ This file now starts with the current implementation status. Older preparation/b
sheets and retain immutable hashes.
- [x] Reconstruct exact cross-tile interior objects and prove that overlap
repeats 40,031 label rows but causes zero reconstructed train/val crossings.
- [ ] Build the next immutable experimental corpus with `min_label_px >= 4`
and compare the existing 0.35 edge-visibility policy against a separately
versioned stricter ablation before any new governed training.
- [x] Build and fully audit an immutable experimental corpus with
`min_label_px=4`; retain 252 tiles and 77,380 labels with zero sub-4-pixel
rows, missing files, invalid labels or cross-split reconstructed objects.
- [ ] Compare the existing 0.35 edge-visibility policy against a separately
versioned stricter ablation from original source geometry before any new
governed training; do not approximate this by dropping every edge label.
- [ ] Convert the AI-assisted ledger into no stronger claim than experimental
triage; a real human must independently review and sign the frozen artifacts
before the governed training wrapper may unlock.