Defect Detection Model Trained on Synthetic Data w/ Omniverse Code, Adobe Substance 3D, and Roboflow

Learn how to train a defect detection model with synthetic data using Omniverse Replicator and Roboflow.

00:00 - Intro
01:21 - Trying to Train with Ground Truth Only
02:55 - Defect Detection Data Training Workflow
04:46 - Creating a Scene for Synthetic Images
07:24 - Assessing Model Performance in Roboflow
08:55 - Improving Synthetic Data with Replicator
12:49 - Evaluating the Improved Model

See the full workflow in this tech blog: https://bit.ly/3o2oVaO

Get started with synthetic data generation on NVIDIA Omniverse: https://developer.nvidia.com/omnivers...

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

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Tutorials → https://nvda.ws/2WluMH2

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