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Date: Wednesday, June 22, 2022
Time: 11:00am - 12:00pm PT
Duration: 1 hour

Researchers, developers, and enterprises need large, carefully labeled datasets to train high accuracy neural networks for perception AI applications. Academic datasets, while great for benchmarking, are very limited to the classes they provide. Acquiring ground truth data for new labels or tasks is costly, time-consuming, prone to errors, and may not capture all the edge cases—and sometimes, does not exist. All of these issues lead to delays and high costs for creating effective AI solutions.

Enter Omniverse Replicator, an open, modular SDK for building custom synthetic data tools and data sets. Omniverse Replicator is a highly extensible framework built on a scalable Omniverse platform that enables physically accurate 3D synthetic data generation to accelerate the training and performance of AI perception networks.

Join this live presentation to learn about the new Omniverse Replicator SDK and how its flexibility, modularity, and unique ability to produce physically accurate synthetic data at scale. In this session, you’ll:
  • Understand the difference between training with synthetic and real data, how to bridge the gap between the two.
  • Get an overview of the Omniverse Replicator SDK, exposed in the new Omniverse Code IDE application.
  • Utilize Omniverse Replicator’s randomizers to create multiple variations of a Universal Scene Description (USD) scene, store the desired ground truth of the scene with annotators and write the data in your desired format.
  • Get your questions answered in a live Q&A session with the Omniverse Replicator technical product managers



You will receive an email with instructions on how to join the webinar shortly.


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DGX Station Whitepaper

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Bhumin Pathak

Senior Product Manager, Omniverse Replicator, NVIDIA

Bhumin Pathak is a Senior Product Manager for Nvidia’s synthetic data generation SDK which is also known as Replicator. He enjoys working at the intersection of computer graphics, 3D simulations, and machine learning. Prior to Nvidia, he worked as an applied researcher in artificial intelligence at Disney, and various other roles at Cisco, and Samsung.

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Nyla Worker is product manager for Omniverse Replicator at NVIDIA, focused on building frameworks and tools for synthetic data generation. She has extensive experience working on deep learning edge applications for robotics and autonomous vehicles, as well as developing accelerated inference pipelines for embedded devices.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018