Highlights –
- The Synthesis platform can programmatically produce enormous amounts of precisely tagged image data at orders of magnitude enhanced speed and decreased cost compared to current methodologies.
- Synthesis Scenarios is the first solution that enables precise control of intricate, multi-human simulations across a wide range of contexts for ML model building.
Synthesis AI, a leader in synthetic data technology, released two new products – Synthesis Humans and Synthesis Scenarios. The two solutions are the most comprehensive and in-depth offerings of human-centric synthetic data. The Synthesis platform can programmatically produce enormous amounts of precisely tagged image data at orders of magnitude enhanced speed and decreased cost compared to current methodologies. This is accomplished through a proprietary blend of generative AI and cinematic CGI pipelines.
The new products aim to make the development and use of synthetic data more seamless than ever before and are an extension of the company’s data generation platform, further solidifying Synthesis AI’s position as a market leader in this field.
Yashar Behzadi, CEO and Founder of Synthesis AI, stated, “Synthesis Humans and Synthesis Scenarios are a natural evolution in our synthetic data roadmap. Synthetic data powered by generative AI is now recognized as a more efficient paradigm for building computer vision AI. Our new products will enable the development of more sophisticated multi-human AI models essential for emerging applications.”
Synthesis Humans allows Machine Learning (ML) experts to build more sophisticated production-scale models, offering them over 100,000 unique identities and the option to modify hundreds of features, such as emotion, body type, dress, and motion. A straightforward User Interface (UI) allows developers to quickly create labeled data, and a robust API lends support to teams who prefer programmatic access and control.
Synthesis Scenarios is the first solution that enables precise control of intricate, multi-human simulations across a wide range of contexts for ML model building. The Synthesis AI platform is presently used by market-leading software, consumers, Augmented Reality (AR), Virtual Reality (VR), autonomy, teleconferencing, and metaverse companies to create more reliable and effective models. With the additional features in Synthesis Humans and Synthesis Scenarios, Synthesis AI now facilitates the building of ML models for a variety of both established and new applications, such as:
ID confirmation: Synthesis Humans offers a variety of data in a completely privacy-compliant way, eliminating the privacy and legal restrictions connected with gathering facial data. The capability would enable more reliable and impartial ID verification models for use cases such as contactless ticketing, online banking, and smartphones, among others.
Metaverse/AR/VR: Applications for augmented reality, virtual reality, and the metaverse rely on the lifelike capture and reconstruction of people in the digital world. Large volumes of diverse, labelled data are needed to develop avatars and build these fundamental ML models. Synthesis Humans offers the most comprehensive set of available demographics along with richly labelled 3D data. The creation of multi-person tracking, and interaction models is supported by Synthesis Scenarios.
Virtual try-on: New virtual try-on technologies are coming up to offer individualized and immersive customer experiences. In order to allow ML engineers to create reliable models for human body form and stance, Synthesis Humans provides 100,000 distinct identities, dozens of body types, and millions of clothing combinations.
AI fitness: In order to spur the creation of new AI fitness apps, Synthesis Humans provides a massive amount of precise human body motion data, including body kinds, camera positions, surroundings, and activity variations.
Driver and Passenger Monitoring: As a result of recent EU laws, computer vision systems for monitoring a driver’s condition and enhancing safety have been developed by car manufacturers, suppliers, and AI firms. Synthesis Humans can correctly model important behaviors, drivers, and in-cabin surroundings to make it possible to create more cost-effective and efficient models.
Teleconferencing: With a spike in remote work increases, workers are more dependent than ever on high-end video conferencing systems to stay productive. Leading businesses use Synthesis Scenarios to train new ML models to enhance the teleconferencing experience and video quality.
Detecting pedestrians: The safe deployment and broad usage of autonomous cars are essential. Synthesis Scenarios’ comprehensive, multi-human simulation paves the way for improving pedestrian identification and behavioral comprehension for dependable, safe performance.
VFX: Complex motion capture technologies and facial rigs are needed to create realistic characters and facial motions for visual effects. In addition to automating a large portion of the time-consuming process of hand animation, backdrop removal, and effects animation, Synthesis Humans offers diverse video data with the precise 3D labels required to build fundamental AI models.
Security: Synthesis Scenarios enable the modelling of complex multi-human environments, including homes, offices, and outdoor places, enabling the development of access control and security systems in a way that is both economical and privacy compliant.
Florian Leibert, general partner and 468 Capital co-founder, said, “Synthesis AI continues to innovate in synthetic data. The company’s platform is the first to bring generative AI together with computer graphics pipelines, helping their customers create photorealistic, diverse, and perfectly labeled training data. The new products represent a significant advancement, enabling computer vision teams to build ML models more cost-effectively across more applications and industries.”