The Datagen Faces generator allows you to create face datasets specifically for your training needs
Acquiring high-quality face datasets for your computer vision system training is a huge headache. Gathering and cleaning this data is time-consuming, expensive, and riddled with privacy issues. For face datasets, the challenge is confounded by the need to account for limitless combinations of facial structures, poses, hairstyles, and expressions, not to mention a huge range of lighting conditions (including low light or nighttime environments), and camera angles.
Synthetic data is a new, efficient, and controllable way to generate complete face datasets for training computer vision systems. Datagen provides high variance, photo-realistic simulated data at scale to bring AI models to production faster. We focus on human-centered applications that require data around humans, environments, and human-object interactions. Our data-centric technology delivers visual data with broad domain coverage and fully-controllable scene variance.
• 50K+ unique faces generated from high-res scans • Diverse pool of identities with different ethnicities, ages, genders, and BMIs • Full control of facial expressions and head poses • 5,000+ hair styles and facial hair • Control over extrinsic and intrinsic camera parameters • Wide range of lighting and background options
See how to generate data specifically tailored to your use case