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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:
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
Akhil Docca is a senior product marketing manager for Omniverse at NVIDIA. Akhil has a master’s degree in Business Administration from UCLA Anderson School of Business and a Bachelor’s degree in Mechanical Engineering from San Jose State University
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:
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
Akhil Docca is a senior product marketing manager for Omniverse at NVIDIA. Akhil has a master’s degree in Business Administration from UCLA Anderson School of Business and a Bachelor’s degree in Mechanical Engineering from San Jose State University
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