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Large-scale multi-label benchmark dataset for remote sensing image classification based on Sentinel-1 and Sentinel-2 imagery. Contains 549,488 pairs of image patches across 10 European countries with 19 land use/land cover classes. Each patch is 1.2 x 1.2 km with multi-spectral bands and pixel-level reference maps from CORINE Land Cover 2018. Enables deep learning research for Earth observation applications including multi-label classification, content-based image retrieval, and multi-modal learning.
LICENSING: Base Sentinel-1/2 imagery is provided under EU Regulations 377/2014 and 1159/2013 (free, full and open access for any lawful use including commercial). Dataset annotations are provided under Community Data License Agreement – Permissive, Version 1.0 (CDLA-Permissive-1.0). Attribution required: 'Contains modified Copernicus Sentinel data [2017-2018]' for imagery; citation of the BigEarthNet papers for the dataset.
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