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Research data . Dataset . 2022

Sentinel-2 dataset for ship detection

De Vieilleville, François; Lagrange, Adrien; Dublé, Nicolas; Saux, Bertrand Le;
This database is a rework of the database built for the first phase of CORTEX project ( funded by ESA. The creation process of the DB was redesigned, and new Sentinel2 acquisitions were included into the dataset. Like the previous database, it was generated using Sentinel-2 images distributed through the Copernicus open access hub (, These Sentinel-2 images are L1C products acquired in Danish sovereign waters in 2019, 2021 and 2022. More specifically, 31 10980x10980 L1C sentinel-2 products were selected (25 for the train dataset, 6 for the test dataset), each of them with a cloud coverage below 10% according to the cloud mask products. The database gathers small (80x80) tiles extracted from Sentinel-2 products. The DB description is given in AIS_Sentinel2_ships_db_CCN-CORTEX-TN-AS-011_1_0.pdf document attached to the zip file. This work is funded by a contract in the framework of the EO SCIENCE FOR SOCIETY PERMANENTLY OPEN CALL FOR PROPOSALS EOEP-5 BLOCK 4 issued by the European Space Agency.
{"references": ["", "De Vieilleville, Fran\u00e7ois; Lagrange, Adrien; Ruiloba, Rosa and Le Saux, Bertrand, \"CORTEX: Deep Learning processing for improving small sat capabilities\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020", "Lagrange, Adrien; De Vieilleville, Fran\u00e7ois; Ruiloba, Rosa, Le Saux, Bertrand and Mathieu, Pierre-Philippe, \"CORTEX: Open training datasets of Sentinel images : ships (Sentinel-2) and refugee camps detection (Sentinel-1&2)\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020"]}

Sentinel-2, ship detection, transfer learning, AIS

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Dataset . 2020
Providers: ZENODO