Add operator YOLO tile dataset exporter

2026-07-07 21:02:09 +02:00
parent 404b37fa07
commit 1d27e4a059
9 changed files with 604 additions and 1 deletions
@@ -266,6 +266,25 @@ This remains operator tooling only. GeoIntel does not expose Training Studio in
 V1, does not generate labels from predictions and does not treat the trained
 artifact as useful until it passes the same real-data Detection + QA matrix.

+If the whole-image dataset underfits or produces unusable detections, export
+overlapping tile-level samples:
+
+```bash
+docker exec -it geointel python3 /app/scripts/export_operator_yolo_tile_dataset.py \
+  --manifest-path /app/storage/operator-data/operator_samples_manifest.json \
+  --output-dir /app/storage/operator-data/yolo-building-tile-dataset \
+  --tile-size 192 \
+  --stride 96 \
+  --negative-keep-ratio 0.5 \
+  --val-samples turnhout \
+  --force
+```
+
+The tile exporter clips reference building boxes into tile-local YOLO labels
+and records the positive/negative tile counts. This gives the training smoke
+more image samples while preserving the same explicit operator-data and QA/QC
+validation boundary.
+
 For visual error inspection, export the persisted QA evidence from a calibration
 summary: