LLMs for Programming: Is Coding Dying?
It is time to discuss some applications. Today, I...
Facial identification and verification for consumer and security applications.
Activity recognition and threat detection across camera views.
Spatial computing, gesture recognition, and gaze estimation for headsets.
Millions of identities and clothing options to train best-in-class models.
Simulate driver and occupant behavior captured with multi-modal cameras.
Simulate edge cases and rare events to ensure the robust performance of autonomous vehicles.
Together, we’re building the future of computer vision & machine learning
Facial identification and verification for consumer and security applications.
Activity recognition and threat detection across camera views.
Spatial computing, gesture recognition, and gaze estimation for headsets.
Millions of identities and clothing options to train best-in-class models.
Simulate driver and occupant behavior captured with multi-modal cameras.
Simulate edge cases and rare events to ensure the robust performance of autonomous vehicles.
Together, we’re building the future of computer vision & machine learning
Facial identification and verification for consumer and security applications.
Activity recognition and threat detection across camera views.
Spatial computing, gesture recognition, and gaze estimation for headsets.
Millions of identities and clothing options to train best-in-class models.
Simulate driver and occupant behavior captured with multi-modal cameras.
Simulate edge cases and rare events to ensure the robust performance of autonomous vehicles.
Together, we’re building the future of computer vision & machine learning
Facial identification and verification for consumer and security applications.
Activity recognition and threat detection across camera views.
Spatial computing, gesture recognition, and gaze estimation for headsets.
Millions of identities and clothing options to train best-in-class models.
Simulate driver and occupant behavior captured with multi-modal cameras.
Simulate edge cases and rare events to ensure the robust performance of autonomous vehicles.
Together, we’re building the future of computer vision & machine learning
Synthetic data for computer vision to enable more capable and ethical AI.
Complete control over any possible human pose, all with accurate body landmarks to help developers build more robust pose estimation models for VTON. A large library of poses, actions and movements is mapped to thousands of identities and body types.
Applying makeup virtually requires model accuracy for precise control over skin tones and textures. Different types of makeup, as well as makeup composition, often confuse VTON systems. With Synthesis Humans, you can model any possible combination of skin color and surfaces, including facial hair, imperfections, and other fine details.
Building robust virtual try-on applications requires diverse datasets across clothing types and materials. Our system is able to produce millions of unique combinations of clothing spanning clothing type, materials, and textures, with advanced layering capabilities for complex styling.
Synthesis AI is the technology leader for creating realistic digital humans. Our digital human datasets support the many different types of avatar characteristics, including skin tones, gestures, and facial expressions, needed for next generation virtual innovation in the Metaverse.
We focus on the fine details of human movement and characteristics, as well as human interactions with a given environment, to support the development of augmented and virtual reality applications, avatars and experiences in the Metaverse.
Pixel-perfect labels with accurate facial, body and hand landmarks to help developers build more robust VTON models. A large library of poses, actions and movements is mapped to thousands of identities and body types.