The highly diverse computer vision training set reduces bias concerns by spanning genders, BMI, and ethnicities.

SAN FRANCISCO, June 9, 2021 /PRNewswire/ —Synthesis AI, a pioneer in synthetic data technologies, today announced they have released 40,000 unique high-resolution 3D facial models.  Through the company’s synthetic data-as-a-service FaceAPI solution, users can now programmatically create perfectly labeled image training data spanning 40,000 unique identities. Demonstrating Synthesis AI’s commitment to addressing ethical AI issues related to bias and privacy, this data set not only represents the largest collection of 3D facial models available anywhere, but also is the most diverse, spanning gender, ethnicity, age, and BMI.

“On the heels of our recent funding announcement, we are excited to continue this type of growth and momentum as a company,” said Yashar Behzadi, CEO of Synthesis AI. “Our goal is to address bias and privacy in AI and to democratize access to high-quality data. Making 40,000 unique identities available further strengthens this mission, while also addressing the technical, economic, and ethical issues with current approaches.”

The new capability will allow companies of any size to create high-performing and unbiased facial models with access to more robust data. Early customers include three of the top five handset manufacturers, leading teleconferencing companies, and global technology companies building the next generation of smart assistants.

By bringing together cinematic VFX pipelines and novel generative AI models, Synthesis AI is uniquely able to produce high-quality and diverse 3D models of faces. Each identity can be modified by near-infinite variability through the combination of emotion, head pose, hair, facial hair, accessories, environments, and camera attributes. Each image comes with associated pixel-perfect labels such as segmentation, facial landmarks, depth maps, surface normals, and more. The ability to create large diverse datasets has recently enabled leading handset manufacturers to develop improved facial verification systems that work with user mask wear across environments and camera angles.  Companies across industries and use-cases will be able to build more capable and less biased models, further solidifying Synthesis AI as a leader in synthetic data by providing more capabilities than competitors.

“Releasing a data set of this breadth and depth reflects Synthesis AI’s commitment to pushing the boundaries of computer vision,” said Dr. Rana el Kaliouby, Co-Founder and CEO of Affectiva. “Brands have a unique opportunity to address ethical AI issues related to bias and privacy and build better, more capable models. We’re proud to be working with Synthesis AI to pioneer synthetic data technologies that will strengthen and facilitate that trust.”About Synthesis AI

Synthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable computer vision models. Through a proprietary combination of generative neural network and cinematic CGI pipelines, 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.

About Yashar Behzadi

Yashar Behzadi is the CEO of Synthesis AI. He is an experienced entrepreneur who has built transformative businesses in AI, medical technology, and IoT markets. He has spent the last 14 years in Silicon Valley building and scaling data-centric technology companies. His work at Proteus Digital Health was recognized by Wired as one of the top 10 technological breakthroughs of 2008 and as a Technology Pioneer by the World Economic Forum. Yashar has over 30 patents and patents pending and a Ph.D. in Bioengineering from UCSD.