Singapore Whole sky Nighttime Image SEGmentation Database

Citation Author(s):
Soumyabrata
Dev
Nanyang Technological University (NTU), Singapore
Florian
Savoy
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore
Yee Hui
Lee
Nanyang Technological University (NTU), Singapore
Stefan
Winkler
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore
Submitted by:
Soumyabrata Dev
Last updated:
Tue, 02/18/2020 - 11:08
DOI:
10.21227/jsf0-ga67
Links:
License:
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Abstract 

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.

S. Dev, F. M. Savoy, Y. H. Lee, S. Winkler. Nighttime sky/cloud image segmentation. Proc. IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 17-20, 2017.

Please cite the above paper if you use the SWINSEG dataset.

Instructions: 

The detailed instructions in using this dataset can be found in the readme.pdf file of the zipped dataset file.

Comments

For research

Submitted by R.Sai Chandra R... on Fri, 01/07/2022 - 02:13