YOLO-MOD: YOLO-based multi-category object detection plugin for maritime, aviation, and infrastructure objects in optical remote sensing images in QGIS

This paper introduces YOLO-based Model for Object Detection (YOLO-MOD), an open-source plugin for QGIS that enables the direct application of deep learning–based object detection models to raster imagery. The plugin supports the detection and classification of multiple object categories in optical remote sensing data, including ships, aircraft, helicopters, airports, and storage tanks. YOLO-MOD integrates deep learning–based processing based on the You Only Look Once (YOLO) architecture into standard Geographic Information System (GIS) workflows and provides access to pre-trained models. By lowering the entry barrier to deep learning methods, the plugin extends established geospatial analysis capabilities without requiring machine learning expertise. Dataset generation is also incorporated.