Record operator YOLO dataset audit results
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@@ -345,6 +345,13 @@ missing or invalid label rows and normalized box-area signals. Treat
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next action is usually more positive AOIs, better validation coverage or more
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unique hard negatives rather than simply extending epochs.
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Current Tower audit status:
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- `yolo-building-tile-expanded160`: clean baseline; no missing/invalid labels.
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- `yolo-building-tile-hardneg160r4` and `yolo-building-tile-hardneg160r8`:
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repeat-heavy hard-negative variants; useful evidence, but add more unique
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background AOIs before training another hard-negative-balanced candidate.
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For hard-negative-balanced experiments, repeat only train-split negative tiles
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from samples marked `sample_role=background_candidate`:
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