Record YOLO duplicate suppression calibration

2026-07-09 11:02:33 +02:00
parent 3f5ca4c85e
commit c4a2e13d43
3 changed files with 18 additions and 3 deletions
@@ -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