Japan landslide dataset for semantic segmentation

This database contains images used for the semantic segmentation of landslide scars from a fully convolutional neural network U-Net. 1. Training dataset: it contains 125 GeoTIFF 8 bits images and associated PNG masks (scars indicated in white and background in black color). 2. Validation dataset: it contains 10 GeoTIFF 8 bits images and associated PNG masks used for U-Net validation step. 3. Test dataset: it contains 10 GeoTIFF 8 bits images and associated PNG masks for testing. Also, the "SHAPEFILES_LANDSLIDES.rar" file contains the vector layers of the masked images in .shp format.

Related Organizations

Universidade Federal da Fronteira Sul
Brazil

Keywords

landslide scars, Japan, dataset, deep learning, machine learning dataset, semantic segmentation

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