Torchgeo

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torchGeo is an incubating OSGeo project.

Description

From the OSGeo project page:

[1] TorchGeo is a PyTorch domain library, similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data.

The goal of this library is to make it simple:

for machine learning experts to work with geospatial data, and for remote sensing experts to explore machine learning solutions.

Core Features

• Geospatial Datasets and Samplers
• 20+ data loaders for satellite imagery and masks
• Automatic CRS reprojection and resampling
• Support for multimodal learning and data fusion
• Benchmark Datasets
• 50+ data loaders for benchmark datasets
• Quickly experiment with a variety of models
• Automatically download most datasets
• Pre-Trained Weights
• 40+ models pre-trained on geospatial data
• Native support for multispectral imagery
• Enables transfer learning on smaller datasets
• Reproducibility with Lightning
• Builtin train/val/test splits and data augmentation
• Classification, regression, detection, segmentation
• Command-line interface, support for YAML files