Computer Vision

Fixing Data Augmentation That Quietly Degrades Your Model Accuracy

Data augmentation is designed to improve model generalization, but poorly chosen transformations can reduce accuracy, introduce label noise, and create unrealistic training examples. Learn why augmentation sometimes hurts performance and how to build augmentation pipelines that improve—not degrade