Data Augmentations in Torchvision

This blog aims to compare and familiarise with different data transformations techniques used by the research community

Image by author.

Introduction

Why do we need data augmentation?

Data augmentation is one of the critical elements of Deep Learning projects. It proves its usefulness in combating overfitting and making models generalize better. Besides the regularization feature, transformations can artificially enlarge the dataset by adding slightly modified copies of already existing images.

How to pick the right augmentations?

There are two ways …

data data-augmentation data preprocessing deep learning pytorch torchvision