Add operator hard-negative detection matrix
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@@ -492,6 +492,24 @@ The combined `multi_sample_quality_summary.json` reports per-sample and overall
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best configurations. It is an operator benchmarking command, not a backend API
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or provider import path.
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Before promoting any local model as a default, also run the hard-negative
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matrix against the documented background candidates:
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```bash
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OPERATOR_SAMPLE_MANIFEST_PATH=storage/operator-data/operator_samples_manifest.json \
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OPERATOR_BACKGROUND_SAMPLE_SLUGS="postel_bos lommel_heide kasterlee_bos" \
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QUALITY_MODEL_ASSET_IDS="geointel-building-yolov8n-expanded160e50-pt geointel-building-yolov8n-tile30-pt yolov8s-building-segmentation-pt" \
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QUALITY_TILE_SIZES="640" \
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QUALITY_TILE_OVERLAPS="64" \
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QUALITY_THRESHOLDS="0.25 0.15 0.05" \
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bash scripts/run_operator_hard_negative_detection_matrix.sh http://192.168.10.150:1202
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```
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This path uploads only background rasters, runs configured-YOLO detection and
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counts detections as false-positive pressure. It does not upload reference
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vectors or run QA/QC, so it cannot produce fake precision/recall metrics for
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empty background AOIs.
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To inspect the evidence behind a calibration run, export the persisted QA
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evidence bundle:
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