Add per-sample YOLO dataset audit diagnostics

2026-07-11 20:51:57 +02:00
parent 2f60a41679
commit 7ccabf5fed
3 changed files with 79 additions and 20 deletions
@@ -413,8 +413,9 @@ The audit reads the tile summary and YOLO label files, then writes
 `operator_yolo_dataset_quality_audit.json` and
 `operator_yolo_dataset_quality_audit.md`. It reports positive/background sample
 coverage, train/validation split coverage, repeated hard-negative pressure,
-minimum visible label ratio, missing or invalid label rows and normalized
-box-area signals. Treat
+minimum visible label ratio, missing or invalid label rows, normalized
+box-area signals and per-sample label diagnostics such as parsed label count,
+median box area, small-box share and sample-specific quality warnings. Treat
 `needs_attention` as a dataset-design warning, not as a runtime failure: the
 next action is usually more positive AOIs, better validation coverage or more
 unique hard negatives rather than simply extending epochs.