Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

Data augmentation refers to a set of techniques that modify existing data instances to create new, synthetic samples. These techniques involve applying a range of transformations such as rotation, ...