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Record AOI512 YOLO candidate gate
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2026-07-09 04:19:48 +02:00
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@@ -109,8 +109,10 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Train a hard-negative-balanced YOLO candidate and rerun dense QA plus background false-positive matrices.
- [x] Benchmark an external remote-sensing YOLOv8l building candidate as an explicit local model asset.
- [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.
- [ ] 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.
## Sprint 8 status