Add real data detection QA workflow smoke
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# Changelog
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## Sprint 121 Real data detection and QA workflow smoke (2026-07-07)
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- Added `scripts/verify_real_data_detection_qa_workflow.sh` for operator-provided GeoTIFF/reference-vector validation against a live runtime.
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- The smoke uploads a real raster source dataset and real reference building vector, validates GIS metadata, tiles the raster, selects a mounted local model asset, runs configured YOLO detection, runs persisted detection QA/QC and exports detection GeoJSON.
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- Registered the script in the readiness gate as a syntax check so normal development remains green without real local imagery or model files.
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- Documented exact Tower usage in `scripts/README.md`, `backend/README.md`, `docs/AI_PIPELINES.md` and `docs/TODO.md`.
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- The script refuses missing files, unsupported formats, demo workflow seeding, fixture detections, live provider fetching and model downloads.
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## Sprint 120 Model asset detection workflow smoke (2026-07-06)
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- Added `scripts/verify_model_asset_detection_workflow.sh` for live Docker/Tower validation of the configured-YOLO path with a selected local model asset.
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