Five class weather image dataset

Citation Author(s):
Lin
Gao
Submitted by:
Lin Gao
Last updated:
Tue, 11/26/2019 - 17:01
DOI:
10.21227/gv99-q408
Data Format:
License:
0
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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. 

Comments

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.

Submitted by Marcus Gladh on Tue, 02/09/2021 - 05:09

I wish to see if this dataset can be used to create a Deep Learning Model for my Deep Learning course

Submitted by Ashwin Mounaswa... on Thu, 04/29/2021 - 14:01

I wish to implement your article for my graduation school project.

Submitted by Adam ISMAILI on Tue, 01/18/2022 - 08:18

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.

Submitted by Jia Tong on Sun, 04/24/2022 - 03:17

I wish to see if this dataset can be used to create a Deep Learning Model

Submitted by Eoghan Daly on Tue, 05/31/2022 - 10:13