{"name": "YOLO-MOD", "package_name": "yolo_mod", "description": "Deep learning-based object detection in raster data using YOLO models within QGIS.", "about": "YOLO-MOD is a QGIS plugin that enables the application of YOLO-based object detection models directly to georeferenced raster data within standard GIS workflows. The plugin supports multi-class detection (e.g. ships, aircraft, helicopters, airports, storage tanks) and integrates both PyTorch (.pt) and ONNX (.onnx) model formats. It provides tools for exporting map extents, generating YOLO-format annotations, and previewing detection results. The plugin is designed for users with limited machine learning experience and supports reproducible remote sensing analysis.", "homepage": "https://github.com/mateusz29/yolo-mod", "repository": "https://github.com/mateusz29/yolo-mod", "tracker": "https://github.com/mateusz29/yolo-mod/issues", "author": "Mateusz Strzelecki, Miraslau Farelnik, Marcin Ciecholewski", "tags": ["raster", "remote sensing", "qgis", "deep learning", "onnx", "pytorch", "object detection", "yolo"], "downloads": 448, "latest_version": "1.0.0", "versions": [{"version": "1.0.0", "experimental": false, "qgis_min": "3.40.0", "qgis_max": "3.99.0", "downloads": 448, "uploaded_by": "marcinc", "upload_datetime": "2026-05-03T04:17:32.728638"}]}