audit YOLO geometry and overlapping validation rows

2026-08-09 19:36:15 +02:00
parent fc18e72c7f
commit 736e773fb8
13 changed files with 789 additions and 16 deletions
@@ -1159,6 +1159,14 @@ This file now starts with the current implementation status. Older preparation/b
  contact sheet; AI follow-up found no systematic duplicate-label pattern.
 - [x] Bind the relationship audit back to exact label-row indices and render
  all 86 implicated rows with type-specific highlighting for focused review.
+- [x] Audit all 79,192 labels at row level for sub-4-pixel dimensions, extreme
+  aspect ratio and tile-edge clipping; inspect the complete small/extreme
+  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.
 - [ ] 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.