Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2019-10-15 000000m 16:56:40 - Overview

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Name (Institute + Shorttitle)BigEarthNet 
Description (include details on usage, files and paper references)The BigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. The image patch size on the ground is 1.2 x 1.2 km with variable image size depending on the channel resolution. This is a multi-label dataset with 43 imbalanced labels.

To construct the BigEarthNet, 125 Sentinel-2 tiles acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe were initially selected. All the tiles were atmospherically corrected by the Sentinel-2 Level 2A product generation and formatting tool (sen2cor). Then, they were divided into 590,326 non-overlapping image patches. Each image patch was annotated by the multiple land-cover classes (i.e., multi-labels) that were provided from the CORINE Land Cover database of the year 2018 (CLC 2018).

Bands and pixel resolution in meters: B01: Coastal aerosol; 60m B02: Blue; 10m B03: Green; 10m B04: Red; 10m B05: Vegetation red edge; 20m B06: Vegetation red edge; 20m B07: Vegetation red edge; 20m B08: NIR; 10m B09: Water vapor; 60m B11: SWIR; 20m B12: SWIR; 20m B8A: Narrow NIR; 20m

License: Community Data License Agreement - Permissive, Version 1.0.

URL: http://bigearth.net/ 
URL Linkhttps://www.tensorflow.org/datasets/catalog/bigearthnet 
Files (#)590326 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)aerial satellite earth semantic segmentation land cover europe multi-channel  
Last Changed2019-10-15 
Turing (2.12+3.25=?) :-)