Shypd.aiThe largest open index of AI toolsGeoSeg is an open-source semantic segmentation toolbox that develops advanced Vision Transformers for remote sensing image segmentation. It supports various datasets and networks for efficient analysis of geospatial data.
About
GeoSeg is an open-source semantic segmentation toolbox built on PyTorch, PyTorch Lightning, and timm, primarily focused on developing advanced Vision Transformers for remote sensing image segmentation. It provides a unified benchmark and training script for various segmentation methods, making it simple and effective for further development. The tool supports key remote sensing datasets such as ISPRS Vaihingen and Potsdam, UAVid, LoveDA, and OpenEarthMap. GeoSeg also includes support for multi-scale training and testing, and inference on huge remote sensing images. It integrates a variety of networks including Mamba, PyramidMamba, UNetFormer, DC-Swin, BANet, ABCNet, A2FPN, and CNNs, offering a comprehensive solution for satellite, aerial, and UAV image segmentation.