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Sentinel-2 dataset for ship detection

François De Vieilleville; Adrien Lagrange; Nicolas Dublé; Bertrand Le Saux

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>François De Vieilleville</dc:creator>
  <dc:creator>Adrien Lagrange</dc:creator>
  <dc:creator>Nicolas Dublé</dc:creator>
  <dc:creator>Bertrand Le Saux</dc:creator>
  <dc:description>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.</dc:description>
  <dc:subject>ship detection</dc:subject>
  <dc:subject>transfer learning</dc:subject>
  <dc:title>Sentinel-2 dataset for ship detection</dc:title>
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