TorchGeo

Datasets, transforms, and models for geospatial data.

Project setup

Conda

conda config --set channel_priority false
conda env create --file environment.yml
conda activate torchgeo

# verify that the PyTorch can use the GPU
python -c "import torch; print(torch.cuda.is_available())"

Example training run

# run the training script with a config file
python train.py config_file=conf/landcoverai.yaml

Developing

make tests

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

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Trademarks

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