What are the core principles of creating synthetic data?

With standard data acquisition processes, data is gathered through expensive, slow, and operationally intensive processes. It doesn’t allow for quick iteration or to improve the data that is used to train.

With synthetic data, this equation can be turned upside down. You can define the environment, the objects, the lights, the camera and get perfect fully annotated datasets - without dependence on manual, error prone processes. 

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