Add operator YOLO tile dataset exporter

backend/README.md

@@ -311,6 +311,25 @@ explicit operator sample manifest. The training wrapper writes
 `training_summary.json` and a local `.pt` artifact, which still must be
 validated through model preflight and the real-data QA matrix before use.
 
+For a larger tile-level training set, use overlapping windows instead of one
+image per AOI:
+
+```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
+```
+
+Then point `OPERATOR_YOLO_DATASET_DIR` at
+`/app/storage/operator-data/yolo-building-tile-dataset` and keep the same
+training wrapper. Tile-level output remains operator tooling outside the V1
+browser product.
+
 The backend also exposes a read-only model asset catalog for the mounted model
 directory: