split-folders

In machine learning tasks involving image data, it’s crucial to split your dataset into separate test, training, and validation sets. This splitting ensures that your model is trained on one set of data, evaluated on a different set (validation), and finally tested on a completely unseen set of data (test). Manually splitting large image datasets…