dataset-division-to-train-val-test-python

python script for dividing image data to train test and val

If you have an image dataset in the following structure of directories

• dataset
  • label_1 directory
  • label_2 directory
  • label_3 directory
  • label_n-1 directory
  • label_n directory

then this python script (main.py) will divide the images present in each label directories into train, val and test directories.

set the following variables according to your requirements in main.py

PATH_OF_DATA= './dataset/'
train_perc = 0.7 #70%
val_perc = 0.2 #20%
test_perc = 0.1 #10%