Synthetic Data for the Edge: Speed Up ML Development with NVIDIA Omniverse and Edge Impulse

Speed Up ML Development with NVIDIA Omniverse and Edge Impulse

‍

When building machine learning models, large sets of diverse and high-quality data are essential. Obtaining real-world data, however, can be costly, time-consuming, have privacy concerns, or simply cannot account for all types of scenarios. NVIDIA Omniverse Replicator, a framework for developing custom synthetic data generation pipelines,  is a game-changer for these scenarios, and can generate highly realistic synthetic datasets to bootstrap the training of computer vision models for industrial scenarios. When combined with Edge Impulse, users can rapidly create professional-grade industrial ML models that can run on resource-constrained devices, from MCUs to CPUs to GPUs.

‍

Listen to the webinar “Synthetic Data for the Edge: Speed Up ML Development with NVIDIA Omniverse and Edge Impulse” and learn from Edge Impulse Senior DevRel Engineer Jenny Plunkett, along with Akhil Docca, Senior Product Marketing Manager for Omniverse at NVIDIA , on how to use synthetic data with NVIDIA and Edge Impulse to get to market faster and increase ML model performance.

‍

In this webinar you’ll learn how to:

• Use synthetic data to help you speed up development and reduce costs
• Use Edge Impulse and NVIDIA Omniverse Replicator for virtual generation and model validation before deploying to any size production hardware
• Validate ML models with digital twins to save time and resources in the development process