Tutorial: How to Automatically Split Your Data (in Folders) Using Python

Welcome to "Tutorial: How to Automatically Split Your Data (in Folders)"
In this videos I'll share to you guys how to automatically split data (in folders) using splitfolders library in Python
Library Documentation:
PY: pypi.org/proje...
GH: github.com/jfi...
Code (open the google colab link by clicking the "Open in Colab" button):
github.com/MHA...
If u have any question comment down below!!! :)

[@zunairanaseem4088]

Aoa sir...same code run but mera after splitting 1 hi folder create hwa just train why?

[@ianariko1832]

Thanks for the video. Any links on how i can split image data from a folder into train, val and test folders when the images are not for classification purpose. The data is not placed into classes

[@mhalearn]

Sorry for the late reply. Your problem might have been solved already, but other people may have the same problem as you. The answer is that the splitfolders library can also be used to split image data into training, validation, and testing sets. Here is the code on how to do it: """ import splitfolders input_folder = 'path' output_folder = 'path' splitfolders.ratio(input_folder, output_folder, seed=42, ratio=(0.8, 0.1, 0.1)) """ The ratio argument indicates the ratio for each folder (in this case, 3 folders). If there is anything wrong with the code or if there is an error, please feel free to comment once again. You can find full information about the splitfolders library in the documentation here: pypi.org/project/split-folders/.

[@suhas8736]

@@mhalearn I have SAR image dataset called HSRID, it has images in one folder and annotations folder contain test, train , train_test.json files, by using this files how can i split the dataset

[@ammarmashal7137]

thanks bro