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Five class weather image dataset

Citation Author(s):
Lin Gao
Submitted by:
Lin Gao
Last updated:
DOI:
10.21227/gv99-q408
Data Format:
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Abstract

An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.

 This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images. 

Instructions:

An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.

 This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images. 

I wish to see whether or not this dataset can be used in our thesis work, which include image synthesis using GAN to generate underrepresented labels in trainingsets.
Marcus Gladh Tue, 02/09/2021 - 10:09 Permalink
I wish to see if this dataset can be used to create a Deep Learning Model for my Deep Learning course
Ashwin Mounasw… Thu, 04/29/2021 - 18:01 Permalink
I wish to implement your article for my graduation school project.
Adam ISMAILI Tue, 01/18/2022 - 13:18 Permalink
I wish to see whether or not this dataset can be used in our thesis work, which include image synthesis using GAN to generate underrepresented labels in trainingsets.
Jia Tong Sun, 04/24/2022 - 07:17 Permalink
I wish to see if this dataset can be used to create a Deep Learning Model
Eoghan Daly Tue, 05/31/2022 - 14:13 Permalink