Amazon and Atlantic Forest image datasets for semantic segmentation

This database contains images from Amazon and Atlantic Forest 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: Training dataset: 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). Validation dataset: it contains 100 GeoTIFF images for each biome with 512x512 pixels and associated PNG masks used for validation step. Test dataset: it contains 20 GeoTIFF images for each biome with 512x512 pixels for testing.

搜集汇总

背景与挑战

背景概述

该数据集包含亚马逊和大西洋森林的卫星图像，用于语义分割任务，特别适用于训练全卷积神经网络。数据集分为训练、验证和测试三个子集，包含不同分辨率的GeoTIFF图像和对应的PNG掩码，总大小为2.3 GB。