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@@ -13,8 +13,8 @@ This repository contains the *WorldFloodsv2* dataset released with the publicati
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  > E. Portalés-Julià, G. Mateo-García, C. Purcell, and L. Gómez-Chova [Global flood extent segmentation in optical satellite images](https://www.nature.com/articles/s41598-023-47595-7). _Scientific Reports 13, 20316_ (2023). DOI: 10.1038/s41598-023-47595-7.
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- The [*WorldFloods* database](https://www.nature.com/articles/s41598-023-47595-7) contains 509 pairs of Sentinel-2 images and flood segmentation masks.
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- It requires approximately 300GB of hard-disk storage.
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  <img src="worldfloods_v2.png" alt="licence" width="60%"/>
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  The *WorldFloods* database and all pre-trained models are released under a [Creative Commons non-commercial licence](https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt)
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  ```
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  @article{portales-julia_global_2023,
 
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  > E. Portalés-Julià, G. Mateo-García, C. Purcell, and L. Gómez-Chova [Global flood extent segmentation in optical satellite images](https://www.nature.com/articles/s41598-023-47595-7). _Scientific Reports 13, 20316_ (2023). DOI: 10.1038/s41598-023-47595-7.
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+ The [*WorldFloods* database](https://www.nature.com/articles/s41598-023-47595-7) contains 509 pairs of Sentinel-2 images and flood segmentation masks. Splitted in train, val and test sets.
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+ It requires approximately 310GB of hard-disk storage.
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  <img src="worldfloods_v2.png" alt="licence" width="60%"/>
 
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  The *WorldFloods* database and all pre-trained models are released under a [Creative Commons non-commercial licence](https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt)
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+ If you find this work useful, please cite:
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  ```
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  @article{portales-julia_global_2023,