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--- |
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license: cc-by-nc-4.0 |
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pipeline_tag: image-segmentation |
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tags: |
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- remote sensing |
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- sentinel2 |
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- landsat |
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- floods |
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--- |
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# *WorldFloodsv2* dataset |
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This repository contains the *WorldFloodsv2* dataset released with the publication: |
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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="65%"/> |
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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, |
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title = {Global flood extent segmentation in optical satellite images}, |
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volume = {13}, |
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issn = {2045-2322}, |
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doi = {10.1038/s41598-023-47595-7}, |
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number = {1}, |
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urldate = {2023-11-30}, |
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journal = {Scientific Reports}, |
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author = {Portalés-Julià, Enrique and Mateo-García, Gonzalo and Purcell, Cormac and Gómez-Chova, Luis}, |
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month = nov, |
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year = {2023}, |
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pages = {20316}, |
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} |
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``` |
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