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. 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
Variants: SWINySEG
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Semantic Segmentation | ACLNet | ACLNet: An Attention and Clustering-based … | 2022-07-13 |
Recent papers with results on this dataset: