Amazon Rainforest dataset for semantic segmentation V2

<p>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.</p> <p>The images refer to the RGB composition (bands 4, 3 and 2). The histogram for each image was selected as follows:</p> <ul> <li>Band 4 (red): values ranging from 103 to 2724;</li> <li>Band 3 (green): values ranging from 194 to 2888;</li> <li>Band 2 (blue): values ranging from 99 to 2798.</li> </ul> <p>After that, each band was converted to a byte type (0-255).</p> <p>The images are still divided into three main sets: training, validation and testing:</p> <ol> <li><strong>Training dataset: </strong>it contains 1.123 GeoTIFF images with 512x512 pixels and associated PNG masks (clouds indicated in white and background in black color).</li> <li><strong>Validation dataset</strong>: it contains 100 GeoTIFF images with 512x512 pixels and associated PNG masks used for validation step.</li> <li><strong>Test dataset:&nbsp;</strong>it contains 100 GeoTIFF images 512x512 pixels for testing.</li> </ol>