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Five class weather image dataset
- Citation Author(s):
- Submitted by:
- Lin Gao
- Last updated:
- Tue, 11/26/2019 - 17:01
- DOI:
- 10.21227/gv99-q408
- Data Format:
- License:
1903 Views- Categories:
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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.
this data are so helpfull
I wish to see if this dataset can be used to create a Deep Learning Model for my Deep Learning course
I wish to implement your article for my graduation school project.
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.
I wish to see if this dataset can be used to create a Deep Learning Model
this is so help full