Parallel Domain unveils Data Lab, the latest API to generate high-fidelity synthetic data for perception systems’ testing and training. Data Lab allows ML engineers to build synthetic datasets with minimal code. This way, they can gain control over dynamic virtual worlds to simulate any scenario.
Data Lab accurately reconstructs scenes and scenarios using 3D simulation, enabling robust customer control. Users can then use the Reactor module to describe the required object types. They can use advanced generative AI technology to translate these situations into precise synthetic data.
Read More: Parallel Domain Unveils Data Lab, a self-serve API for Synthetic Data Generation
