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