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WorldFloodsv2 dataset
This repository contains the WorldFloodsv2 dataset released with the publication:
E. Portalés-Julià, G. Mateo-García, C. Purcell, and L. Gómez-Chova Global flood extent segmentation in optical satellite images. Scientific Reports 13, 20316 (2023). DOI: 10.1038/s41598-023-47595-7.
The WorldFloodsv2 database contains 509 pairs of Sentinel-2 images and flood segmentation masks. Splitted in train, val and test sets. It requires approximately 76GB of hard-disk storage.
![licence](/datasets/isp-uv-es/WorldFloodsv2/resolve/main/worldfloods_v2.png)
Download the dataset
huggingface-cli download --cache-dir /path/to/cachedir --local-dir /path/to/localdir/WorldFloodsv2 --repo-type dataset isp-uv-es/WorldFloodsv2
Explore the dataset
The exploring WorldFloodsv2 tutorial in the ml4floods package shows how to process the dataset and plot the images and masks.
Licence
The WorldFloods database and all pre-trained models are released under a Creative Commons non-commercial licence
Cite
If you find this work useful, please cite:
@article{portales-julia_global_2023,
title = {Global flood extent segmentation in optical satellite images},
volume = {13},
issn = {2045-2322},
doi = {10.1038/s41598-023-47595-7},
number = {1},
urldate = {2023-11-30},
journal = {Scientific Reports},
author = {Portalés-Julià, Enrique and Mateo-García, Gonzalo and Purcell, Cormac and Gómez-Chova, Luis},
month = nov,
year = {2023},
pages = {20316},
}
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