Add hard-negative balanced YOLO tile export
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2026-07-07 23:01:51 +02:00
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@@ -106,7 +106,7 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Calibrate confidence, IoU and model selection against additional local orthophoto/reference samples beyond Geel/Mol/Turnhout.
- [x] Add negative/background AOIs to the operator sample corpus and train an expanded local tile-level YOLO candidate.
- [x] Add a hard-negative model-quality pass with sparse/background AOIs and explicit false-positive scoring.
- [ ] Train a hard-negative-balanced YOLO candidate and rerun dense QA plus background false-positive matrices.
- [x] Train a hard-negative-balanced YOLO candidate and rerun dense QA plus background false-positive matrices.
- [ ] 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.
## Sprint 8 status