TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

datasets deep-learning earth-observation models pytorch remote-sensing torchvision transforms

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README.md

TorchGeo

Datasets, transforms, and models for geospatial data.

Project setup

Conda

conda env create --file environment.yml
conda activate torchgeo

Datasets

Dataset	Imagery Type	Label Type	Dataset Type	External Link
Smallholder Cashew Plantations in Benin	Sentinel-2 (71 scene time series)	Semantic segmentation	GeoDataset	https://registry.mlhub.earth/10.34911/rdnt.hfv20i/
Cars Overhead With Context (COWC)	0.15m/px overhead imagery	Object detection	VisionDataset	https://gdo152.llnl.gov/cowc/
CV4A Kenya Crop Type	Sentinel-2 (13 scene time series)	Semantic segmentation	GeoDataset	https://registry.mlhub.earth/10.34911/rdnt.dw605x/
Tropical Cyclone Wind Estimation	GOES single band imagery	Regression	VisionDataset	http://registry.mlhub.earth/10.34911/rdnt.xs53up/
Landcover.ai	RGB aerial imagery at 0.5m/px and 0.25m/px	Semantic segmentation	GeoDataset	https://landcover.ai/
NWPU VHR-10	Google Earth RGB and Vaihingen CIR	Object detection	VisionDataset	https://github.com/chaozhong2010/VHR-10_dataset_coco
SEN12MS	Sentinel-1 and Sentinel-2	Semantic segmentation	GeoDataset	https://github.com/schmitt-muc/SEN12MS
So2Sat	Sentinel-1 and Sentinel-2	Classification	VisionDataset	https://github.com/zhu-xlab/So2Sat-LCZ42

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

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