Record YOLO duplicate suppression calibration

CHANGELOG.md

@@ -14,6 +14,7 @@
 - Detection run result metadata now records raw candidate count, suppressed duplicate count and duplicate IoU threshold.
 - Calibration and quality matrix scripts now fetch detection run details and include raw/suppressed counts in summaries.
 - Updated Docker/Unraid env examples, API/AI/backend docs and detection pipeline notes.
+- Redeployed Tower and reran Westerlo/Turnhout dense-AOI sweeps; duplicate suppression improved F1 but the AOI512 YOLOv8s candidate remains rejected for default use.
 - No model was activated, no detections were faked, and no migration changed.
 
 ## Sprint 148 YOLO max-detection cap hardening (2026-07-09)

docs/CODEX_EXECUTION_LOG.md

@@ -26,9 +26,22 @@ Tested:
 - `bash -n scripts/run_detection_calibration_sweep.sh`
 - `bash -n scripts/run_detection_quality_matrix.sh`
 - `bash -n scripts/run_multi_sample_detection_quality_matrix.sh`
+- `bash scripts/run_readiness_check.sh` (`426 passed`, frontend typecheck/build passed)
+- Redeployed Tower all-in-one image with AI dependencies and verified `YOLO_MAX_DETECTIONS=1000` plus `YOLO_DUPLICATE_IOU_THRESHOLD=0.5` in the live container.
+- Tower live migration smoke and browser runtime verification passed.
+- Live Westerlo calibration with `geointel-building-yolov8s-aoi512e80-pt`:
+  - `0.25`: 202 persisted / 270 raw / 68 suppressed, F1 `0.2537313432835821`
+  - `0.15`: 328 persisted / 523 raw / 195 suppressed, F1 `0.22054380664652568`
+  - `0.05`: 586 persisted / 1000 raw / 414 suppressed, F1 `0.17173913043478262`
+- Live Turnhout calibration with `geointel-building-yolov8s-aoi512e80-pt`:
+  - `0.25`: 559 persisted / 822 raw / 263 suppressed, F1 `0.14114114114114112`
+  - `0.15`: 659 persisted / 1000 raw / 341 suppressed, F1 `0.14385474860335196`
+  - `0.05`: 659 persisted / 1000 raw / 341 suppressed, F1 `0.14385474860335196`
 
-Next:
-- Run full readiness, then deploy Tower and rerun the dense Westerlo/Turnhout sweeps with duplicate suppression enabled to quantify quality impact versus the Sprint 148 uncapped baseline.
+Conclusion:
+- Cross-tile duplicate suppression reduces false-positive pressure and improves F1 versus the Sprint 148 uncapped baseline on the checked dense AOIs.
+- The current AOI512 YOLOv8s candidate remains rejected for default use because recall/precision are still too low after post-processing.
+- Next model work should focus on stronger training data/label strategy and a new candidate gate, not further default threshold lowering.
 
 ## Sprint 148 YOLO max-detection cap hardening (2026-07-09)
 

docs/TODO.md

@@ -113,10 +113,11 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Raise configured-YOLO `max_det` through `YOLO_MAX_DETECTIONS` so dense AOIs are not capped at 300 detections before QA/QC.
 - [x] Rerun live dense-AOI calibration after redeploy with `YOLO_MAX_DETECTIONS=1000`; Westerlo reached 523/1000 detections at lower thresholds and Turnhout reached 822/1000, confirming the old 300 cap is removed.
 - [x] Add configured-YOLO cross-tile duplicate suppression and raw/suppressed calibration evidence fields.
+- [x] Rerun live dense-AOI calibration after redeploy with `YOLO_DUPLICATE_IOU_THRESHOLD=0.5`; Westerlo 0.25 improved to F1 `0.2537313432835821` and Turnhout 0.25 improved to F1 `0.14114114114114112`, but the candidate remains rejected.
 - [ ] Find or train a materially stronger aerial/Kempen building model candidate; `geointel-building-yolov8n-expanded160e50-pt` is the best current dense-AOI candidate but still too weak and too noisy for a V1 default.
 - [ ] Train a higher-capacity local aerial-building detector with stronger positive recall while preserving the hard-negative false-positive gate.
 - [ ] Add more diverse positive AOIs and revisit geometry-to-box label strategy before the next default-model training attempt.
-- [ ] Rerun live dense-AOI calibration after redeploy with `YOLO_DUPLICATE_IOU_THRESHOLD=0.5` to measure post-processing impact versus the Sprint 148 uncapped baseline.
+- [ ] Build the next candidate gate around better positive AOI coverage, label strategy and hard-negative retention.
 
 ## Sprint 8 status