Synthesis for AI Training AI can programmatically generate synthetic images of humans | Tech Rasta

Synthetic data technology startup Synthesis AI Inc. Today it said it’s updating its platform with two interesting add-ons that make it possible to create perfectly labeled human image data in double-quick time.

Synthesis AI is a leader in the synthetic data space, offering a platform for creating artificially generated information using algorithms. Synthetic data is often used as an alternative to test datasets for new products and tools, as well as artificial intelligence training.

The company’s new products include Synthesis Humans and Synthesis Scenarios. The company says they work by combining generative AI with cinematic computer generated imagery. They are an extension of the existing platform, aiming to make generating and deploying synthetic image data more seamless than previously possible.

As the name suggests, Synthesis Humans is about synthesizing images of humans. With this, teams can create highly sophisticated human images with 100,000 unique identifiers. They also have the ability to modify dozens of features such as emotion, body types, clothing, and motion. Once images are created, developers can automate the labeling process through an intuitive user interface, the company said.

As for synthesis scenarios, it allows us to fine-tune complex, multi-human simulations in a variety of environments that we can find in the real world.

The company says these new capabilities in its platform make it possible to generate comprehensive synthetic datasets for a wide range of applications. Because Synthesis Humans can generate thousands of different synthetic images of humans, the platform is ideal for training identity verification models used to facilitate online banking, smartphone security, and other use cases.

Synthesis AI’s datasets can also be used to develop avatars for metaverses and virtual worlds. The creation of realistic-looking avatars requires diverse, labeled data that can be quickly generated using a synthesis platform. Additionally, the datasets can be used to power AI fitness applications, computer vision systems for passenger and driver monitoring, teleconferencing apps and visual effects.

“Synthesis Humans and Synthesis Scenes are a natural evolution of our synthetic data roadmap,” said Yasher Behzadi, founder and chief executive 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 enable the development of more sophisticated multi-human AI models required by emerging applications.”

Image: Synthesis AI

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