Add operator YOLO training dataset tooling

docs/CODEX_EXECUTION_LOG.md

@@ -1,3 +1,35 @@
+## Sprint 129 Operator YOLO training dataset tooling (2026-07-07)
+
+Changed:
+- Added `scripts/export_operator_yolo_dataset.py` to export prepared operator samples into a local YOLO detection dataset:
+  - input manifest: `operator_samples_manifest.json`
+  - output: `dataset.yaml`, `images/train`, `labels/train`, `images/val`, `labels/val`, `yolo_dataset_summary.json`
+  - labels are derived from GRB building references with `source_name=grb` and `reference_layer_name=buildings`.
+- Added `scripts/train_operator_yolo_detector.sh` as an explicit operator/runtime wrapper around a local Ultralytics training smoke:
+  - requires `OPERATOR_YOLO_DATASET_DIR`
+  - requires an existing `YOLO_BASE_MODEL_PATH`
+  - writes a local `TRAIN_MODEL_OUTPUT_PATH`
+  - writes `training_summary.json`.
+- Added readiness coverage for exporter compile and train-wrapper shell syntax.
+- Added regression coverage in `backend/tests/test_sprint129_operator_yolo_training_dataset.py`.
+- Updated `scripts/README.md`, `backend/README.md`, `docs/AI_PIPELINES.md`, `docs/TODO.md` and `CHANGELOG.md`.
+
+Tested:
+- RED: `python -m pytest backend\tests\test_sprint129_operator_yolo_training_dataset.py -q` failed while the exporter and training wrapper contracts were incomplete.
+- `python -m pytest backend\tests\test_sprint129_operator_yolo_training_dataset.py -q` passed.
+- `python scripts\export_operator_yolo_dataset.py --help` passed without requiring local GIS dependencies.
+- `python -m py_compile scripts\export_operator_yolo_dataset.py` passed.
+- `bash -n scripts/train_operator_yolo_detector.sh` passed.
+
+Open:
+- Run the exporter and training smoke inside the AI-enabled Tower runtime, then benchmark the trained artifact through the existing multi-sample Detection + QA matrix.
+
+Limitations:
+- This is operator tooling only. It does not add Training Studio, browser training controls, provider fetching, fake detections, model auto-provisioning or API contract changes.
+
+Next recommended pass:
+- Generate the local YOLO dataset from the current Geel/Mol/Turnhout samples, train a small local model smoke from `yolov8n.pt`, and compare it against the current `yolov8s-building-segmentation-pt` benchmark.
+
 ## Sprint 128 Stronger building model runtime benchmark (2026-07-07)
 
 Changed: