Record YOLO max detection live calibration

docs/TODO.md

@@ -111,10 +111,11 @@ This file now starts with the current implementation status. Older preparation/b
 - [x] Train and gate the `uniquehardneg160e50` YOLOv8s candidate through 7 positive AOIs and 9 hard-negative/background samples.
 - [x] Train and gate an AOI-scale `aoi512e80` YOLOv8s candidate to test the 160px training-scale hypothesis.
 - [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.
 - [ ] 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_MAX_DETECTIONS=1000` to measure uncapped recall and false-positive pressure.
+- [ ] Add operator-side duplicate suppression/post-processing analysis for dense overlapping tile detections before the next promotion gate.
 
 ## Sprint 8 status