[general]
name=YOLO-MOD
qgisMinimumVersion=3.40
qgisMaximumVersion=3.99
description=Deep learning-based object detection in raster data using YOLO models within QGIS.
version=1.0.0
author=Mateusz Strzelecki, Miraslau Farelnik, Marcin Ciecholewski
email=marcin.ciecholewski@pg.edu.pl

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.

tracker=https://github.com/mateusz29/yolo-mod/issues
repository=https://github.com/mateusz29/yolo-mod
homepage=https://github.com/mateusz29/yolo-mod

changelog=1.0.0 - Initial public release.

tags=yolo, object detection, deep learning, remote sensing, raster, qgis, onnx, pytorch
category=Raster

icon=icon.png
experimental=False
deprecated=False
hasProcessingProvider=no
server=False
