Calipsa Blog What is data augmentation in deep learning?

Data augmentation is the process of transforming images to create new ones, for training machine learning models. This is an important step when building datasets because modern machine learning models are very powerful; if they're given datasets that are too small, these models can start to 'overfit', a problem where the models just memorize the mappings between their inputs and expected outputs.