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

Fo research on airplane contrail detection and monitoring

Submitted by Philippe Very on Sun, 12/04/2022 - 13:51

Dataset Files

Singapore Whole sky Nighttime Image SEGmentation Database SWINSEG.zip (3.34 MB)

Datasets

Standard Dataset

Singapore Whole sky Nighttime Image SEGmentation Database

Abstract

Comments

Dataset Files

QUESTIONS?