classAug
classAug is a Python library designed to facilitate data augmentation for machine learning tasks, particularly in the context of image classification. It provides a flexible and user-friendly interface for applying a variety of common image transformations to datasets. The primary goal of classAug is to help improve the robustness and generalization performance of classification models by artificially increasing the diversity of the training data.
The library offers a range of augmentation techniques, including geometric transformations such as rotations, translations, scaling,
classAug is often integrated into deep learning workflows, where it can be used to pre-process data before