Expand operator hard-negative AOIs
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@@ -1414,3 +1414,4 @@ Added:
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- Added `scripts/audit_operator_yolo_dataset_quality.py`, an operator-only YOLO tile dataset quality audit that produces JSON and Markdown reports for sample coverage, split coverage, repeated hard-negative pressure and label-size integrity before further training runs.
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- Added pytest coverage and readiness syntax checking for the new operator YOLO dataset audit script.
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- 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.
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- 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.
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