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.