{"name": "Spatium Labs Vision", "package_name": "spatium_landcover", "description": "RGB image segmentation into editable land-cover polygons and reviewed training samples.", "about": "Segments visible QGIS imagery or local georeferenced RGB rasters into candidate polygons. Requires a separate Python 3.10-3.12 environment with rasterio, shapely, pyproj, fiona, torch, transformers and onnxruntime; dependencies and model weights are downloaded on demand. No packages are installed into QGIS Python. Image rights and model terms apply. Outputs require manual review; no cadastral or crop identification guarantee. Turkish interface.", "homepage": "https://github.com/melihanileroglu/SpatiumLabs-QGIS/tree/main/spatium_landcover", "repository": "https://github.com/melihanileroglu/SpatiumLabs-QGIS", "tracker": "https://github.com/melihanileroglu/SpatiumLabs-QGIS/issues", "author": "Spatium Labs", "tags": ["remote sensing", "segmentation", "land cover", "buildings", "rgb"], "downloads": 13, "latest_version": "0.5.2", "versions": [{"version": "0.5.2", "experimental": true, "qgis_min": "3.28.0", "qgis_max": "3.99.0", "downloads": 13, "uploaded_by": "melihanileroglu", "upload_datetime": "2026-10-09T09:13:10.731230"}]}