Add operator YOLO training dataset tooling

scripts/README.md

@@ -261,6 +261,46 @@ plus a combined `multi_sample_quality_summary.json` with
 container-style `/app/storage/...` manifest paths to repo-relative
 `storage/...` paths when run from the Tower host checkout.
 
+Export the same operator samples to a local YOLO detection dataset when the
+public model candidates are not strong enough for the target imagery:
+
+```bash
+docker exec -it geointel python /app/scripts/export_operator_yolo_dataset.py \
+  --manifest-path /app/storage/operator-data/operator_samples_manifest.json \
+  --output-dir /app/storage/operator-data/yolo-building-dataset \
+  --val-samples turnhout \
+  --force
+```
+
+The exporter writes `dataset.yaml`, `images/train`, `labels/train`,
+`images/val`, `labels/val` and `yolo_dataset_summary.json`. It uses only the
+explicit operator sample manifest and GRB building references where
+`source_name=grb` and `reference_layer_name=buildings`. It does not call
+GeoIntel APIs, create provider data, run inference or train a model.
+
+Run a small local training smoke only in an AI-enabled runtime with an existing
+local base model file:
+
+```bash
+docker exec \
+  -e OPERATOR_YOLO_DATASET_DIR=/app/storage/operator-data/yolo-building-dataset \
+  -e YOLO_BASE_MODEL_PATH=/app/models/yolov8n.pt \
+  -e TRAIN_MODEL_OUTPUT_PATH=/app/models/geointel-building-detector.pt \
+  -e TRAIN_EPOCHS=8 \
+  -e TRAIN_IMGSZ=512 \
+  -e TRAIN_BATCH=2 \
+  -e TRAIN_WORKERS=0 \
+  -e TRAIN_DEVICE=cpu \
+  geointel bash /app/scripts/train_operator_yolo_detector.sh
+```
+
+The training wrapper is intentionally outside the product UI. It runs
+Ultralytics from the existing runtime, copies the best trained artifact to
+`TRAIN_MODEL_OUTPUT_PATH` and writes `training_summary.json`. Afterward, treat
+the resulting `.pt` file like any other local model asset: verify preflight,
+run the real-data matrix and compare persisted QA/QC metrics before activating
+it as a useful default.
+
 Export calibration QA evidence for visual review:
 
 ```bash