Deep learning-based object detection in raster data using YOLO models within QGIS.
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.
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