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Prepare unique hard-negative training dataset
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2026-07-09 02:20:49 +02:00
parent 54e6ad888e
commit 20c942df50
6 changed files with 39 additions and 5 deletions
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CHANGELOG.md
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@@ -1415,3 +1415,4 @@ Added:
- Added pytest coverage and readiness syntax checking for the new operator YOLO dataset audit script.
- Recorded live Tower audit results showing `yolo-building-tile-expanded160` as the clean current baseline and r4/r8 hard-negative datasets as repeat-heavy evidence sets that need more unique background AOIs before further hard-negative training.
- Expanded the explicit operator background-candidate AOI registry from 3 to 9 unique hard-negative locations and added tests for diversity/spread before further YOLO training.
- Fixed the all-in-one Dockerfile so documented operator scripts are copied into `/app/scripts/`, then prepared and audited the new Tower `yolo-building-tile-uniquehardneg160` dataset as the next training candidate.