Synthesis AI, a pioneer in synthetic data technologies, released Synthesis Humans and Synthesis Scenarios, two new products that represent the broadest and deepest offerings of human-centric synthetic data. Through a proprietary combination of generative AI and cinematic CGI pipelines, the Synthesis platform can programmatically create vast amounts of perfectly labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches.
The new offerings serve as an extension of the company’s data generation platform and aim to make the creation and implementation of synthetic data more seamless than ever before, further cementing Synthesis AI’s position as a leader in the synthetic data space.
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“Synthesis Humans and Synthesis Scenarios are a natural evolution in our synthetic data roadmap,” said Yashar Behzadi, CEO and Founder of Synthesis AI. “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 enables Machine Learning (ML) practitioners to create more sophisticated production-scale models, providing them with over 100,000 unique identities and the ability to modify dozens of attributes, including emotion, body type, clothing and motion. An intuitive user interface (UI) allows developers to quickly create labeled data, and a comprehensive API supports teams that prefer programmatic access and control.
Synthesis Scenarios is the first product that allows for fine control of complex, multi-human simulations across a varied set of environments for ML model development. Industry-leading software, consumer, Augmented Reality (AR), Virtual Reality (VR), autonomy, teleconferencing, and metaverse companies currently use the Synthesis AI platform to build more robust and performant models. With the new capabilities in Synthesis Humans and Synthesis Scenarios, Synthesis AI supports ML model development for a broad range of existing and emerging applications, including: