Nepal landslide dataset for semantic segmentation
| Main Authors: | Bragagnolo, Lucimara, Rezende, Lujan Rafael, da Silva, Roberto Valmir, Grzybowski, José Mario Vicensi |
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| Format: | info dataset Journal |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3688363 |
Daftar Isi:
- 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.