Generate Synthetic Data with Omniverse Replicator: Overview (Part 1)

Training high-performing AI models often relies on real-world data that may be scarce and often expensive to collect and label. Synthetic data generated from custom pipelines built on NVIDIA Omniverse Replicator provides a way to generate training data from 3D simulations for use cases like visual inspection to detect defects on manufactured parts.

In this four-part tutorial, learn how to train a defect detection model with synthetic data using Omniverse Replicator. Watch this first video for an introduction to synthetic data and how to get started with a downloadable defect detection pack from NVIDIA Omniverse.

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NVIDIA Omniverse is a scalable development platform for building and operating custom 3D pipelines and industrial metaverse applications. Based on Universal Scene Description (OpenUSD), Omniverse fundamentally transforms complex 3D workflows, allowing individuals and teams to connect disparate 3D tools and datasets, and simulate large-scale, physically accurate virtual worlds for industrial and scientific use cases.

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