{"name": "YOLOLens", "package_name": "yololens_plugin", "description": "Automated planetary crater detection on TIF rasters using YOLOLens models.\r\nFor Pretrained models -->>  https://github.com/riccardolagrassa/YOLOLens_QGIS_Plugin", "about": "YOLOLens brings deep learning to planetary geology. The plugin leverages PyTorch-based YOLOLens models to automatically scan, detect, and map impact craters from high-resolution .tif raster imagery, converting AI inference into GIS-ready vector layers.", "homepage": "https://github.com/riccardolagrassa/YOLOLens_QGIS_Plugin", "repository": "https://github.com/riccardolagrassa/YOLOLens_QGIS_Plugin", "tracker": "https://github.com/riccardolagrassa/YOLOLens_QGIS_Plugin/issues", "author": "Riccardo La Grassa", "tags": ["vector", "python", "raster"], "downloads": 288, "latest_version": "0.1", "versions": [{"version": "0.1", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 287, "uploaded_by": "riccardo.lagrassa", "upload_datetime": "2026-05-15T04:45:04.165575"}]}