Record operator YOLO dataset audit results

2026-07-09 01:47:08 +02:00
parent 5898e548c2
commit 34f09fe323
4 changed files with 18 additions and 2 deletions
@@ -441,4 +441,6 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Add a dataset/label-quality audit for generated operator YOLO tile datasets.
 - [x] Report sample coverage, validation coverage, repeated hard-negative pressure and YOLO label area integrity.
 - [x] Wire the audit script into the readiness syntax gate.
- [ ] Use live audit output to decide whether the next model pass needs more positive AOIs, label cleanup or unique hard negatives.
+- [x] Use live audit output to decide whether the next model pass needs more positive AOIs, label cleanup or unique hard negatives.
+- [ ] Add more unique background/hard-negative AOIs before repeating hard-negative-balanced YOLO training.
+- [ ] Keep `yolo-building-tile-expanded160` as the clean current training baseline; avoid promoting r4/r8 repeat-heavy datasets as defaults.