Easy Way to Split Data on Your Disk Into Train, Test, and Validation?

Easy Way to Split Data on Your Disk Into Train, Test, and Validation?

Easy way to split data on your disk into train, test, and validation?

Easy way to split data on your disk into train, test, and validation?

pip install split-folders

import splitfolders  # or import split_folders

input_folder = 'cell_images/'

# Split with a ratio.
# To only split into training and validation set, set a tuple to `ratio`, i.e, `(.8, .2)`.
#Train, val, test
splitfolders.ratio(input_folder, output="cell_images2", 
                   seed=42, ratio=(.7, .2, .1), 
                   group_prefix=None) # default values


# Split val/test with a fixed number of items e.g. 100 for each set.
# To only split into training and validation set, use a single number to `fixed`, i.e., `10`.
# enable oversampling of imbalanced datasets, works only with fixed
splitfolders.fixed(input_folder, output="cell_images2", 
                   seed=42, fixed=(35, 20), 
                   oversample=False, group_prefix=None)

Code generated in the video can be downloaded from here:

https://github.com/bnsreenu/python_fo...

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