[general]
name=GeoSeg Studio
description=Full-pipeline deep learning semantic segmentation for geospatial raster data.
version=1.0.0
qgisMinimumVersion=3.34
author=Salar Ghaffarian
email=salar@dronnix.com
category=Plugins
icon=icon.png


# Additional Information
about=GeoSeg Studio is a complete deep learning segmentation environment for QGIS. It covers the full workflow in one plugin: prepare training data (clip, split, augment), train your own segmentation model, evaluate performance, run predictions on new rasters, and post-process vector outputs — all without leaving QGIS.
tags=deep learning,semantic segmentation,PyTorch,AI,segmentation,training,remote sensing,raster,neural network,U-Net
homepage=https://github.com/dronnix-io/GeoSegStudio
tracker=https://github.com/dronnix-io/GeoSegStudio/issues
repository=https://github.com/dronnix-io/GeoSegStudio.git

experimental=False
deprecated=False
hasProcessingProvider=no
license=GPLv2
changelog=1.0.0 - Initial release
