Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2019-11-15 000000m 06:08:34 - Overview

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Name (Institute + Shorttitle)38-Cloud 
Description (include details on usage, files and paper references)Introduced for pixel-level cloud segmentation in satellite images. There are 8400 patches for training and 9201 patches for testing extracted from 38 Landsat 8 remote sensing images.
The entire images of these scenes are cropped into multiple 384*384 patches to be proper for deep learning-based semantic segmentation algorithms. There are 8400 patches for training and 9201 patches for testing. Each patch has 4 corresponding spectral channels which are Red (band 4), Green (band 3), Blue (band 2), and Near Infrared (band 5). Unlike other computer vision images, these channels are not combined together. 
URL Linkhttps://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset 
Files (#)17601 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)Cloud, Satellite Images, Segmentation, Landsat 8, Remote Sensing,  
Last Changed2019-11-15 
Turing (2.12+3.25=?) :-)