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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Italy landslide dataset for semantic segmentation

Research datakeyboard_double_arrow_right Dataset 23 Nov 2020Publisher:Zenodo
Authors: Rezende, Lujan Rafael; Bragagnolo, Lucimara; da Silva, Roberto Valmir; Grzybowski, José Mario Vicensi;

doi: 10.5281/zenodo.4287424 , 10.5281/zenodo.4287425

Italy landslide dataset for semantic segmentation

Abstract

This database contains images used for the semantic segmentation of landslide scars from a fully convolutional neural network U-Net. The .rar file contains 3 folders: Image: 104 GeoTIFF 8 bits images of locations with landslide scars. Masks: 104 PNG masks (scars indicated in white and background in black color). Slope: 104 GeoTIFF float rasters of slope (in degrees). Also, the "SHAPEFILES_LANDSLIDES.rar" file contains the vector layers of the masked images in .shp format.

Related Organizations
Keywords

landslide scars, Italy, dataset, semantic segmentation, machine learning dataset

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average