Record clean AOI1024 model rejection
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@@ -484,5 +484,6 @@ This file now starts with the current implementation status. Older preparation/b
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- [x] Generate AOI1024 promotion report and keep recommended candidate as `none`.
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- [x] Add GRB paging before trusting dense reference exports as full ground truth.
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- [x] Regenerate Tower AOI1024 operator samples with paged GRB references, then re-export and audit labels before any new training attempt.
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- [ ] Improve AOI1024 label quality before retraining: current paged export has 29,170 labels and no invalid rows, but audit remains `needs_attention` because small-box share is `0.34744600617072335`.
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- [x] Improve AOI1024 label quality before retraining: `yolo-building-aoi1024-cleanpx12vis035` now audits `ok` with 14,632 labels, `min_label_px=12`, `min_label_visible_ratio=0.35`, median normalized box area `0.001373291015625` and small-box share `0.0`.
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- [x] Train and reject `geointel-building-yolov8s-aoi1024cleanpx12vis035e50-pt` through the positive/background promotion gate.
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- [ ] Keep every local YOLO candidate inactive until positive-AOI and hard-negative promotion reports recommend default activation.
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