Machine Learning & Training

What Is Data Augmentation?

Data augmentation is a technique that increases the size and diversity of a training set by creating modified versions of existing data. For images, this can include rotations, flips, or color changes, while text can be paraphrased or altered. Augmentation helps models generalize better and reduces overfitting.