Amazon Rainforest dataset for semantic segmentation

This database contains images used for the semantic segmentation of forest and non-forest areas from a fully convolutional neural network U-Net . 1. Training dataset: it contains 30 GeoTIFF images with 512x512 pixels and associated PNG masks (forest indicated in white and non-forest in black color). 2. Validation dataset: it contains 15 GeoTIFF images with 512x512 pixels and associated PNG masks used for U-Net validation step. 3. Test dataset: it contains 15 GeoTIFF images 512x512 pixels for testing.

Related Organizations

Universidade Federal da Fronteira Sul
Brazil

Keywords

forest, Amazon rainforest, dataset, machine learning dataset, semantic segmentation

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