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Add operator hard-negative detection matrix
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2026-07-07 22:07:56 +02:00
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# Changelog
## Sprint 132 Operator hard-negative detection matrix (2026-07-07)
- Added `scripts/run_operator_hard_negative_detection_matrix.sh` to score configured-YOLO false-positive pressure on documented background-candidate operator AOIs without uploading reference vectors or running QA/QC.
- Added readiness shell-syntax coverage and regression coverage in `backend/tests/test_sprint132_operator_hard_negative_matrix.py`.
- Live Tower 27-run hard-negative matrix compared `geointel-building-yolov8n-expanded160e50-pt`, `geointel-building-yolov8n-tile30-pt` and `yolov8s-building-segmentation-pt` on Postel-bos, Lommel-heide and Kasterlee-bos at thresholds `0.25`/`0.15`/`0.05`.
- Result: `geointel-building-yolov8n-expanded160e50-pt` produced 0 detections on Postel-bos and Lommel-heide at thresholds `0.25` and `0.15`, but produced 38/46/76 detections on Kasterlee-bos at thresholds `0.25`/`0.15`/`0.05`.
- Decision: the expanded local model remains the best dense-AOI candidate, but Kasterlee-bos false-positive pressure blocks it from becoming a V1 default. The next model pass must train against stronger hard-negative coverage or tune per-model threshold/max-detection policy.
- No QA metrics were faked; background scoring is detection-count based only. No provider fetching, fixture detections, model downloads, API contract changes or app-side training behavior were introduced.
## Sprint 131 Operator sample expansion and negative-tile YOLO candidate (2026-07-07)
- Expanded `scripts/prepare_operator_real_data_samples.py` from the original Geel/Mol/Turnhout corpus to 7 reference AOIs plus 3 background-candidate AOIs.