Clouds dataset for semantic segmentation

This database contains images used for training a fully convolutional neural network for the semantic segmentation of clouds in images from the Sentinel-2 Level 2A Satellite. The images refer to the RGB composition (bands 4, 3, and 2). After that, each band was converted to a byte type (0-255). The images are still divided into three main sets: training, validation and testing: <strong>Training dataset: </strong>it contains 1.160 GeoTIFF images with 512x512 pixels and associated PNG masks (clouds indicated in white and background in black color). <strong>Validation dataset</strong>: it contains 100 GeoTIFF images with 512x512 pixels and associated PNG masks used for validation step. <strong>Test dataset: </strong>it contains 100 GeoTIFF images 512x512 pixels for testing.