New augmented reality and virtual reality applications in the Metaverse depend on a detailed representation of how people interact in a wide variety of real-life scenarios. However, Metaverse growth is severely limited by the complexities and challenges of capturing and annotating real-world 3D human data. Sophisticated machine learning models, supporting the AR and VR apps of the future, are driving the need for synthetic data
Synthesis AI is capable of supplying a nearly infinite amount of synthetic data for training ML models in AR/VR software development. The synthetic datasets provide pixel-perfect 3D annotations to help build highly robust digital human models for Metaverse applications at a fraction of the cost and time required today.
Digital Human Datasets for Metaverse Applications
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.
Facial Landmarks Used for Avatar Creation and Emotion Tracking
Digital Human Facial Landmarks Examples
- 100K unique identities spanning sex, age, skin-tone, and ethnicity
- Ability to modify a wide range of facial attributes
- A proprietary set of 5K 3D facial landmarks
- Full control of lighting, environments, and cameras
Pose Estimation for Digital Humans
Programmatic control of body landmarks helps build highly efficient and robust pose estimation models. Our pose estimation models are key to recreating lifelike human movements for realistic virtual applications.
Digital Human Pose Estimation Examples
- Body types
- Clothing characteristics
- Arm and hand movements
- Leg and feet movements
- Facial movements
Advanced Labeling for Digital Humans
Dataset Labeling for Digital Humans
- Detailed Segmentation Maps
- Depth levels
- Surface normal
- 2D/3D landmarks
- Many more feature labels available
Gesture Recognition for AR/VR Applications
Digital Human Gesture Recognition Variables
- Body types
- Camera angles
- And many more gesture configurations available
Activity Classification for Digital Humans
Mapping AR, VR and Metaverse Activities
- Body types
- And many more activity mappings
Learn More About Our Synthetic Data Solutions And Schedule A Demo Today
Take a moment and submit a bit more information about the problem you’re trying to solve with synthetic data, below. We’d love the opportunity to help you build the AR, VR and Metaverse applications of tomorrow.