SWINySEG

Singapore Whole sky Nychthemeron Image SEGmentation Database

Dataset Information
Introduced
2019
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Overview

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

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Semantic Segmentation ACLNet ACLNet: An Attention and Clustering-based … 2022-07-13

Research Papers

Recent papers with results on this dataset: