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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 AISynthesis 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.
Start-up exits stealth mode to address market need for high-quality machine learning training data with launch of FaceAPI, its synthetic data-as-a-service product
San Francisco, CA, April 7, 2021 – Synthesis AI, a pioneer in synthetic data technologies, today announced $4.5 million in additional funding as they launch a synthetic data-as-a-service FaceAPI product. The round was backed by existing investors Bee Partners, PJC, iRobot Ventures, Swift Ventures, Boom Capital, Kubera VC and Leta Capital. Synthesis AI comes out of stealth mode to provide their unique approach to data generation for computer vision to a wider range of organizations and applications. The new capital will allow Synthesis AI to add to its world-class R&D teams and continue leading the industry in the development of synthetic data technologies.
With recent advances in deep learning, there are tremendous opportunities for companies to develop new and more capable AI-driven computer vision applications. However, traditional data collection and human dataset labeling approaches cannot keep pace, and enterprise companies are lacking access to high-quality and diverse machine learning training data.
“Synthesis AI is laying the foundation to own the synthetic data category. The company is approaching data as a verb, leading to synthetic full body simulations with increasing animations, movements and behaviors interacting in diverse environments that apply across industry domains,” said Kira Noodleman, Principal at Bee and Board Observer for Synthesis AI. “Essentially, this opportunity is unbounded with an incredibly experienced founder at the helm.”
Through a proprietary solution, Synthesis AI’s platform is addressing industry needs by letting customers programmatically create vast amounts of perfectly-labeled, unbiased image data enabling the development of more capable models.
“The synthetic data market is exploding as companies look for better and faster ways to expand their data sets and improve the performance of their machine learning models,” said Rob May, Partner at PCJ. “When we researched the space, the Synthesis AI team seemed far ahead of everyone else in the enterprise market, which is why we are so excited to be part of this round.”
IMMEDIATE PRODUCT MOMENTUM
In addition to securing new funds, Synthesis AI is also launching their FaceAPI product, enabling the on-demand generation of millions of perfectly labeled human images to train more capable computer vision models. FaceAPI, which is now generally available and currently in use by major technology and handset manufacturers, will enable users to prototype, develop and test systems 100 times faster and cheaper than current approaches, while addressing ethical and privacy concerns often associated with facial computer vision. FaceAPI represents the first of many APIs to address various computer vision use-cases.
“We are excited to show this type of growth and momentum. Computer vision is set to explode but companies are currently gated by access to high-quality, diverse image data,” said Yashar Behzadi, CEO of Synthesis AI. “From smartphones to teleconferencing, most devices in our daily routines rely on computer vision, but developing these models is arduous, expensive, and inefficient. Current approaches for human-centered data also face ethical issues related to the breach of consumer privacy and model bias related to gender & ethnicity. We pride ourselves on offering an ever-growing suite of enterprise grade on-demand image and label generation APIs to address the technical, economic and ethical issues with current approaches. ”
Synthesis AI’s technology also scales in the cloud, from research and development phases with small amounts of data to production requirements of terabytes of data.
“Synthetic data has become a critical component to advancing deep learning and is truly changing the state of the art in AI-based applications,” said Dr. Rana el Kaliouby, Co-Founder and CEO of Affectiva. “Our collaboration with Synthesis AI has been extremely rewarding and sparked innovation for how we train our deep learning models, ultimately reducing error rates and cost.”
To learn more about Synthesis AI, visit https://synthesisaistg.wpengine.com/.
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.
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