Singapore Whole sky Nychthemeron Image SEGmentation Database
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. Representative sample images are shown below.
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.
More details about the dataset can be found in the following paper:
CloudSegNet: A deep network for nychthemeron cloud image segmentation.
IEEE Geoscience and Remote Sensing Letters, 2019.
Please cite the above paper if you use the SWINySEG dataset.