Cloud coverage in snapshot camera images

We have proposed a deep convolution neural network (CNN) approach for the accurate estimation of the cloud coverage (CC) from images captured by a consumer camera, i.e., snapshot pictures. The results have shown that the present CNN has the potential to allow consumer cameras to be used as remote weather sensors. (see the journal paper: https://doi.org/10.2151/sola.2017-043) Here we publish the dataset used for the training and evaluation of the proposed CNN. The dataset consists of camera images and their cloud coverages (integer values ranging from 0 to 10), which were labeled by human labelers. As described in the above-mentioned paper, most of the camera images were collected from the Flickr website, and some of their copyrights are not clear. Therefore, the image data themselves are not included in the dataset, and they should be downloaded from the internet. Please read the documents for how to download the image data. If you use this dataset, please read "Use Constraints" shown at "Detail info." mode.