Why synthetic data?
Data can be created to specifically target bias in the real data set
Datasets can be stored and used without privacy concerns
Pixel Perfect Annotation
Data can be perfectly annotated, including advanced annotations such as 3D-Bounding boxes, velocity vectors and distance data
Synthetic data can be generated to represent multiple different sensor types, simultaneously, RGB data, Bayer data, LIDAR data and thermal data are a few examples
Inference System Modeling
The synthetic data allows you to have inference system independent data, and then apply the relevant biases on a case by case basis
Corner case modeling
Dangerous, difficult and time consuming corner test cases can be modeled with the synthetic data.