Rotational augmentation techniques: a new perspective on ensemble learning for image classification

Unai Muñoz-Aseguinolaza, Basilio Sierra, Naiara Aginako

The popularity of data augmentation techniques in machine learning has increased in recent years, as they enable the creation of new samples from existing datasets. Rotational augm…