datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bigearthnetdigital_typhoonDigitial Typhoon Dataset:
KITAMOTO, A., HWANG, J., VUILLOD, B., GAUTIER, L., TIAN, Y., & CLANUWAT, T. (2023, December). Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones. NeurIPS 2023 Datasets and Benchmarks (Spotlight).
This dataset was created by the Digital Typhoon project.
dynamic_earthnetDynamic EarthNet dataset redistributed from https://mediatum.ub.tum.de/1650201 and https://cvg.cit.tum.de/webshare/u/toker/dynnet_training_splits/ under a common tarball for simpler download speeds.
Individual zip files were replaced with tarballs instead.
In the mediatum server version the following directories have the wrong name compared to the given split txt files:
/labels/5111_4560_13_38S
/labels/6204_3495_13_46N
/labels/7026_3201_13_52N
/labels/7367_5050_13_54S
/labels/2459_4406_13_19S… See the full description on the dataset page: https://huggingface.co/datasets/torchgeo/dynamic_earthnet.biomasstersRehosted dataset from official repo. However, we have created tar balls instead of split zip archives, since they are easier to extract.
We also changed the nested directory structure of the train_features directory and renamed the .csv files.
The tar balls can be extracted with theses commands:
tar -xvf train_agbm.tar.gz
tar -xvf test_agbm.tar.gz
cat train_features.tar.gz* | tar xvfz -
cat test_features.tar.gz* | tar xvfz -
You can also check the accompanying dataloader in torchgeo.
If you… See the full description on the dataset page: https://huggingface.co/datasets/torchgeo/biomassters.hyspecnetRedistributed from https://doi.org/10.5061/dryad.fttdz08zh without modification.
tutorialsssl4eo_l_benchmarkOxfordIIITPet-CThe corrupted version of the Oxford-IIIT Pet fined-grained classification dataset.
License
The dataset is available to download for commercial/research purposes under a Creative Commons Attribution-ShareAlike 4.0 International License. The copyright remains with the original owners of the images.
Citation
If you use this dataset please consider citing:
The authors of the original dataset,
@inproceedings{parkhi2012cats,
title={Cats and dogs},
author={Parkhi, Omkar M… See the full description on the dataset page: https://huggingface.co/datasets/torch-uncertainty/OxfordIIITPet-C.Flowers102-CThe corrupted version of the Flowers102 fined-grained classification dataset.
How to use this dataset
For all the corruptions, extract the tar.gz files with the following command:
for f in *.tar.gz; do tar -xzf "$f" && rm "$f"; done
License
The license of the original dataset is unclear.
Citation
If you use this dataset please consider citing:
The authors of the original dataset,
@inproceedings{nilsback2008automated,
title={Automated flower… See the full description on the dataset page: https://huggingface.co/datasets/torch-uncertainty/Flowers102-C.