Document operator YOLO training benchmark
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@@ -405,4 +405,5 @@ This file now starts with the current implementation status. Older preparation/b
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- [x] Add safe local YOLO model env configuration helper for Unraid/Tower runtime activation.
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- [x] Harden configured YOLO inference for single-band raster tiles and wrapped runtime errors.
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- [x] Add operator-only YOLO dataset export and local training-smoke wrapper for real sample calibration.
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- [ ] Train/evaluate a local GeoIntel building detector from the operator samples and only activate it after QA/QC matrix improvement.
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- [x] Train/evaluate a small local GeoIntel building-detector smoke from the current operator samples and reject it because QA/QC did not improve.
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- [ ] Build a larger tile-level training dataset with more AOIs, positive/negative tiles and validation splits before the next local model attempt.
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