Add model asset detection workflow smoke
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@@ -82,6 +82,7 @@ This file now starts with the current implementation status. Older preparation/b
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- [x] Add opt-in Docker/Unraid AI build/runtime path for local PyTorch/Ultralytics YOLO operation.
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- [x] Surface configured-YOLO runtime preflight status through the API and Detection Lab UI.
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- [x] Add read-only local model asset catalog and Detection Lab model-file selection.
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- [x] Add live model asset detection workflow smoke for configured-YOLO runtime/provenance validation.
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- [x] Add one-click full GIS workflow action for query, derived dataset, QA/QC and export handoff.
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- [x] Add QA/QC workspace result hierarchy and filter density polish.
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- [x] Add Change Detection panel hierarchy and analysis workspace density polish.
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@@ -90,6 +91,7 @@ This file now starts with the current implementation status. Older preparation/b
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- [x] Add QA/QC and Exports usability layout pass with calmer evidence review and handoff artifact scanning.
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- [x] Add AI Labs Detection/Segmentation hierarchy and result density polish.
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- [x] Add Export/System handoff hierarchy and provider registry density polish.
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- [ ] Validate the configured building model on a real georeferenced Kempen orthophoto/GeoTIFF with persisted reference vectors and QA/QC metrics.
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## Sprint 8 status
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