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Record YOLOv8s e60 candidate evaluation
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2026-07-08 21:57:41 +02:00
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@@ -432,6 +432,7 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Prevent same-threshold calibration evidence responses from overwriting each other in multi-model portfolios.
- [x] Add a model promotion decision report that combines positive-AOI score with hard-negative false-positive pressure.
- [x] Train and reject a YOLOv8s hard-negative r8 partial candidate after 12 CPU epochs through the full positive/background promotion gate.
- [x] Finish and reject the full YOLOv8s hard-negative r8 e60 candidate through the same promotion gate.
- [ ] Add more AOIs after the tile-level baseline so the next local model attempt is not limited to Geel/Mol/Turnhout.
- [ ] Add negative/background AOIs so the next tile dataset is not all positive tiles.
- [ ] Finish or resume a long-running higher-capacity YOLO training pass outside the 1-hour interactive command window, then rerun the same promotion gate.
- [ ] Improve positive training coverage/label quality before the next higher-capacity model attempt; simply extending the same hardneg r8 run is not enough.