Singapore Whole sky Nighttime Image SEGmentation Database
The SWINSEG dataset contains 115 nighttime images of sky/cloud patches along with their corresponding binary ground truth maps. The ground truth annotation was done in consultation with experts from Singapore Meteorological Services. 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. All image patches are 500x500 pixels in size, and were selected considering several factors such as time of the image capture, cloud coverage, and seasonal variations.
Variants: SWINSEG
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: