Amazon Rainforest dataset for semantic segmentation V2

This database contains images used for training a fully convolutional neural network for the semantic segmentation of forested areas in images from the Sentinel-2 Level 2A Satellite. The images refer to the RGB composition (bands 4, 3 and 2). The histogram for each image was selected as follows: Band 4 (red): values ranging from 103 to 2724; Band 3 (green): values ranging from 194 to 2888; Band 2 (blue): values ranging from 99 to 2798. 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: Training dataset: it contains 1.123 GeoTIFF images with 512x512 pixels and associated PNG masks (clouds indicated in white and background in black color). Validation dataset: it contains 100 GeoTIFF images with 512x512 pixels and associated PNG masks used for validation step. Test dataset: it contains 100 GeoTIFF images 512x512 pixels for testing.