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Record unique hard-negative YOLO candidate gate
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2026-07-09 03:54:48 +02:00
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# Changelog
## Sprint 146 Unique hard-negative YOLOv8s candidate gate (2026-07-09)
- Fixed the all-in-one Docker image so the operator YOLO training wrapper is available at `/app/scripts/train_operator_yolo_detector.sh`.
- Trained the Tower-local `geointel-building-yolov8s-uniquehardneg160e50-pt` candidate from the `yolo-building-tile-uniquehardneg160` dataset and preserved it as an explicit local model asset.
- Ran 7 positive AOI calibration sweeps, a 17,008-feature evidence portfolio, a 9-sample hard-negative/background matrix and a promotion report.
- Result: the candidate is rejected. Mean positive F1 remains around `0.16` and background false-positive pressure reaches `58` detections at threshold `0.25`, `85` at `0.15` and `172` at `0.05`.
- Hardened the operator promotion report so older positive evidence portfolios can be compared with explicit positive tile-size/overlap defaults.
- No API contract, migration, frontend behavior, model download, provider-fetching behavior or active model configuration changed.
## Sprint 145 YOLOv8s hardneg r8 e60 full candidate evaluation (2026-07-08)
- Completed the Tower-local YOLOv8s hard-negative r8 training run through 60 CPU epochs and published local model asset `geointel-building-yolov8s-hardneg160r8e60-pt`.