This masterclass will introduce the problem of data scarcity for ML models from various perspectives. We will then look at various Data Augmentation techniques for image and sound datasets along with the opportunities afforded by simulators for creating synthetic data. Finally, we will see some real examples of ML models whose accuracy has been significantly improved by Data Augmentation-based training.
Addressed to:
– Data science analysts and experts
