Synthetic Data For Visual Machine Learning : A Data-centric Approach

This article discusses the importance of deep learning in artificial intelligence and the crucial role of training data in developing successful applications. It also explores the potential of synthetic data in cases where captured data is limited or expensive, and presents two methods for generating synthetic data for computer vision tasks. The first method uses computer graphics, while the second employs generative modeling. The article highlights the flexibility and scalability of these methods and their ability to produce diverse and accurately annotated images.