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 techniques rely on existing data sets to simulate events and forecast outcomes. Synthetic data provides larger, more diverse data sets and stand-in for data that's difficult to ...