SWINySEG
Singapore Whole sky Nychthemeron Image SEGmentation Database
Creative Commons LicenseIntroduced 2019-04-16
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
Benchmarks
10-shot image generation/Average Precision10-shot image generation/Average Recall10-shot image generation/F1-Score10-shot image generation/MCC10-shot image generation/Mean IoUSemantic Segmentation/Average PrecisionSemantic Segmentation/Average RecallSemantic Segmentation/F1-ScoreSemantic Segmentation/MCCSemantic Segmentation/Mean IoU