SWINySEG (Singapore Whole sky Nychthemeron Image SEGmentation Database)
Introduced by Dev et al. in CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
The SWINySEG dataset contains 6768 daytime- and nighttime-images of sky/cloud patches along with their corresponding binary ground truth maps. The images in the SWINySeg dataset are taken from two of our earlier sky/cloud image segmentation datasets -- SWIMSEG and SWINSEG. All images were captured in Singapore using WAHRSIS, a calibrated ground-based whole sky imager, over a period of 12 months from January to December 2016. The ground truth annotation was done in consultation with experts from Singapore Meteorological Services.
Source: CloudSegNet: A deep network for nychthemeron cloud image segmentation
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