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
@@ -1,3 +1,28 @@
+## Sprint 130 Operator YOLO tile-level dataset tooling (2026-07-07)
+
+Changed:
+- Added `scripts/export_operator_yolo_tile_dataset.py`.
+- The exporter reads `operator_samples_manifest.json`, opens each raster/reference pair, creates overlapping tile windows, clips GRB building bounding boxes into tile-local YOLO labels, writes `dataset.yaml`, and reports `yolo_tile_dataset_summary.json`.
+- Added deterministic negative tile retention through `negative_keep_ratio`.
+- Added readiness compile coverage for the tile exporter.
+- Added regression coverage in `backend/tests/test_sprint130_operator_yolo_tile_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_sprint130_operator_yolo_tile_dataset.py -q` failed while `scripts/export_operator_yolo_tile_dataset.py` did not exist.
+- `python -m pytest backend\tests\test_sprint130_operator_yolo_tile_dataset.py -q` passed.
+- `python scripts\export_operator_yolo_tile_dataset.py --help` passed without requiring local GIS dependencies.
+- `python -m py_compile scripts\export_operator_yolo_tile_dataset.py` passed.
+
+Open:
+- Run the tile exporter inside the AI-enabled Tower runtime, train a local tile-level model, and benchmark it through the existing multi-sample Detection + QA matrix.
+
+Limitations:
+- This remains 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:
+- Export the tile-level dataset on Tower with `tile-size=192`, `stride=96`, train a longer local model, and compare it against the current `yolov8s-building-segmentation-pt` baseline.
+
 ## Sprint 129 Operator YOLO training dataset tooling (2026-07-07)

 Changed: