Accelerating AI and 3D simulation workflows.
Training AI models, or running large-scale 3D simulations, requires carefully labeled and diverse datasets. It’s also time consuming and often prohibitively expensive to gather and label datasets that may contain a few thousand to tens of millions of elements.
Synthetic data, generated by algorithms, contains annotated information such as images or text, and is used with real-world data to train AI models and create 3D simulations. Synthetic data generation (SDG) saves time and reduces costs.
Overcome the data gap and reduce overall cost of acquiring and labeling data required to train AI models.
Address privacy issues and reduce bias by generating diverse datasets to represent the real world.
Create highly accurate and generalized AI models by training with data that includes rare but crucial corner cases that are otherwise impossible to collect.
Generate data that scales with your use case across manufacturing, automotive, robotics and more.
Synthetic data can be used to train AI models to catch defects early in the manufacturing process.
Image courtesy of Siemens
Synthetic data can be used for training robots to move payloads, improving worker safety and streamlining operations.
3D synthetic data can be used to develop and test autonomous vehicles solutions in a simulation environment, reducing testing and training times, and cost.
Omniverse Replicator is an open and modular SDK that enables accurate 3D synthetic data generation (SDG) to accelerate the training and performance of AI perception networks.
Omniverse Replicator powers the synthetic data generation capabilities in NVIDIA Isaac Sim, a robotics simulation application, and can be used to generate synthetic data specific to training AI-based robots.
The NVIDIA Drive Sim suite of tools uses Omniverse Replicator to generate synthetic data for autonomous vehicle (AV) perception algorithms.
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Learn more about research at NVIDIA and the latest publications on synthetic data in areas such as generative AI, computer vision, and more. Explore the research out of the NVIDIA Artificial Intelligence Lab lead by Sanja Fidler for the latest in computer vision, machine learning, and computer graphics.
Bootstrap the training and accuracy of computer vision AI networks for synthetic data generation using Omniverse Replicator in the cloud.
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