Bring AR Experiences to Life with Synthetic Data
Computer Vision developers consistently face challenges regarding the cost, bias, and quality of labeled datasets for machine learning training. The Unity real-time 3D platform can help overcome these challenges by creating synthetic datasets based on virtualized 3D environments and simulated sensors. In this session, you will learn how Unity Computer Vision tools can bring computer vision applications to production more quickly and efficiently. You will also discover an example where the tools are used to create data to recognize and understand people in their home environments, a difficult scenario for real-life data collection due to privacy considerations.
