  Recent advances in Computer Vision and Deep Learning have enabled astonishing
results in a variety of fields and applications. Motivated by this success, the
SkyCam Dataset aims to enable image-based Deep Learning solutions for
short-term, precise prediction of solar radiation on a local level. For the
span of a year, three different cameras in three topographically different
locations in Switzerland are acquiring images of the sky every 10 seconds.
Thirteen high resolution images with different exposure times are captured and
used to create an additional HDR image. The images are paired with highly
precise irradiance values gathered from a high-accuracy pyranometer.
