Add detection calibration sweep

docs/AI_PIPELINES.md

@@ -167,6 +167,21 @@ download model weights. A zero detection count is valid as runtime evidence only
 when the selected model genuinely returns no usable detections after canonical
 class filtering; it does not prove the model is useful for the target imagery.
 
+For confidence-threshold calibration, use the sweep wrapper:
+
+```bash
+REAL_RASTER_PATH=/mnt/user/appdata/geointel/storage/operator-data/geel_orthophoto_wms_512.tif \
+REAL_REFERENCE_VECTOR_PATH=/mnt/user/appdata/geointel/storage/operator-data/geel_grb_gbg_buildings.geojson \
+CALIBRATION_THRESHOLDS="0.50 0.35 0.25 0.15" \
+bash scripts/run_detection_calibration_sweep.sh http://192.168.10.150:1202
+```
+
+The sweep runs the real-data workflow once per threshold and then reads the
+persisted project quality-check list to build `calibration_summary.json`.
+Results are honest QA/QC evidence from persisted detections and persisted
+reference `vector_features`; no demo detections, live provider fetches or model
+downloads are introduced by the calibration tool.
+
 ### Sprint 8C detection visualization and QA status
 
 Sprint 8C makes persisted detections reviewable: