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.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.

SWINSEG数据集包含115幅夜间天空与云团图像块，以及与之对应的二值真值标注图（binary ground truth maps）。该数据集的真值标注工作由新加坡气象服务局（Singapore Meteorological Services）的专家协作完成。所有图像于2016年1月至12月共计12个月的周期内，在新加坡使用WAHRSIS拍摄获取，该设备为一款经过校准的地基全天空成像仪（ground-based whole sky imager）。所有图像块尺寸均为500×500像素，选取过程综合考量了拍摄时间、云量覆盖情况以及季节变化等多项因素。相关论文为S. Dev、F. M. Savoy、Y. H. Lee与S. Winkler合著的《夜间天空与云团图像分割（Nighttime sky/cloud image segmentation）》，刊载于2017年9月17日至20日在中国北京举办的IEEE国际图像处理会议（ICIP）论文集。若使用本数据集，请引用上述论文。

搜集汇总

背景与挑战

背景概述

SWINSEG数据集包含115张新加坡夜间天空/云图像及其二进制地面实况图，图像由WAHRSIS全天空成像仪在2016年全年拍摄，尺寸均为500x500像素，适用于夜间云分割研究。