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TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel
The main features of ternaus/ternausnetv2 are: Geospatial Machine Learning, Segmentation Architectures.
Projects with overlapping indexed features include: juntang-zhuang/shelfnet. torchgeo/torchgeo — TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and… aayushbansal/pixelnet. aitorzip/keras-icnet. akirasosa/mobile-semantic-segmentation. aharley/segaware.