KappaSet_AI4QC dataset

The dataset was used in the AI4QC project (Artificial Intelligence for Quality Control), in the context of semantic segmentation for cloud detection. It consists of 9251 cloud masks, distributed over the full globe and acquired over the four seasons of 2020. To each label file is associated a Sentinel-2 L1C image. The dataset originates from the KappaSet dataset, where the cloud masks were reclassified. The new classes are the following:

• 0 - clear
• 1 - thick cloud
• 2 - thin cloud
• 3 - cloud shadow

The "masks" folder contains the cloud masks, which have a size of 512 x 512 pixels with 10m resolution. The other 13 folders contain the Sentinel-2 scenes for each Sentinel-2 band. Their resolution follows the Sentinel-2 specifications:

• B02, B03, B04, B08: 10m
• B05, B06, B07, B8A, B11, B12: 20m
• B01, B09, B10: 60m

The original KappaSet data is available at https://zenodo.org/records/7100327#.Y-d7my_P02x.