Amazon and Atlantic Forest image datasets for semantic segmentation

This database contains images from<strong> Amazon </strong>and <strong>Atlantic Forest </strong>brazilian biomes 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 composition of bands 4, 3, 2 and 8. 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 499 and 485 GeoTIFF images (Amazon and Atlantic Forest, respectively) with 512x512 pixels and associated PNG masks (forest indicated in white and background in black color). <strong>Validation dataset</strong>: it contains 100 GeoTIFF images for each biome with 512x512 pixels and associated PNG masks used for validation step. <strong>Test dataset: </strong>it contains 20 GeoTIFF images for each biome with 512x512 pixels for testing.