Texas university launching large synthetic face biometrics training dataset

Using synthetic data instead of real people's faces to train facial recognition systems has been gaining ground among biometrics companies around the world. A university in Dallas, Texas now wants to create one of the largest balanced synthetic databases for facial recognition.

The Southern Methodist University (SMU) plans to generate a database of facial images from text descriptions with a high-performance computing platform specifically designed for AI called the Nvidia DGX SuperPOD. The goal is to tackle bias issues and …

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