A way to grow training data by changing the examples you already have.
Take one dog photo and give it a little wobble. Now the AI learns “dog,” not one perfect puppy pose.
It is big in image training, and shows up in speech and text. With few examples, it helps models handle new cases better.
Regularization
Data Augmentation is a common way to reduce overfitting.
Computer Vision
It is most common and most mature in image training.
ImageNet
Large ImageNet training often treats it as a basic step.
Supervised Learning
It gives labeled training more varied examples.