How to split folder with images into train, val and test?
I am using colab and I have a folder with images. How to split them into three folders with images with random splitting? I want there to be 0.8 in train, 0.1 in val and 0.1 in test. I tried splitfolders library:
splitfolders.ratio(&quot;content/data&quot;, output=&quot;output&quot;, seed=1337, ratio=(.8, .1, .1), group_prefix=None) 


but new folder didn't appear. and its not clear what would their names be. How to do that? Are there any other solutions?
Pytorch solutions are very welcomed

Try this in your computer.
I'm using this code in my project
import splitfolders 

#### input dataset that want to split
input_folder = 'D:/Raw_DS'  

output_folder= 'D:/Splitted_DS'

splitfolders.ratio(input_folder, output= output_folder, seed=1337, ratio = (0.8, 0.1, 0.1))

