Published February 19, 2020 | Version v3
Dataset Open

Nepal landslide dataset for semantic segmentation

Description

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 230 GeoTIFF 8 bits images and associated PNG masks (scars indicated in white and background in black color).

2. Validation dataset: it contains 35 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.

Files

Files (4.8 MB)

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md5:c31331479cad1bcd26e388bd4a41081c
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md5:7061dc9e415176adb6a1202a02dde9c0
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