Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →Parallel Domain builds a procedural-generation pipeline that produces synthetic image and 3D scene data for training and testing perception models used in autonomous vehicles, delivery robots, and other autonomous systems. The company was founded in 2017 by Kevin McNamara and is based in San Francisco. It has raised a $30M Series B round and reports customers including Toyota Research Institute and Continental.
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