Synthetic data refers to data generated in a digital environment rather than collected in the physical environment. By constructing a situation or environment that cannot exist in reality, it is possible to mass produce new data from various domains. The value of synthetic data is becoming higher because it contributes to the enhancement of accuracy in the training of AI models and enables the development of Advanced AI with less amount of real data.
dynamic data
Dynamic data refers to synthetic data for objects with actions like humans or animals. Accurate action data can be collected with a high-precision motion capture system, and dynamic synthetic data can be created by integrating a static data generation system.
static data
Static data refers to synthetic data of a static object that can be 3D modeled. Various types of realistic synthetic data can be generated by modeling based on the numerical information of real objects and applying parameters such as Material, Lighting, and Environment.
