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Synthetic Data Generation with Generative AI Reference Workflow

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Synthetic Data Generation with Generative AI Reference Workflow - Home Synthetic Data Generation with Generative AI Reference Workflow - Home

Synthetic Data Generation with Generative AI Reference Workflow

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Table of Contents

Overview

  • Synthetic Data Generation with Generative AI Reference Workflow

Tutorials

  • Get Started
  • Develop a Virtual Facility with NVIDIA APIs

Use Cases and Examples

  • Use Cases
    • Case #1: Code Generation (Python USD) with USD Code
    • Case #2: Use USD Code API for Replicator Domain Scene Randomization
    • Case #3: Search Asset Database with USD Search and Write Python with USD Code API
    • Case #4: Using Cosmos for Synthetic Dataset Augmentation
  • Known Issues and Limitations
  • Use Cases

Use Cases#

NVIDIA APIs are optimized containers that can be deployed anywhere. In this workflow guide we will focus on USD Search API and USD Code API, but there are many other APIs you can find on our website. Learn more about APIs and try some for yourself here: https://build.nvidia.com/explore/discover.

Case Studies#

  • Case #1: Code Generation (Python USD) with USD Code
  • Case #2: Use USD Code API for Replicator Domain Scene Randomization
  • Case #3: Search Asset Database with USD Search and Write Python with USD Code API
  • Case #4: Using Cosmos for Synthetic Dataset Augmentation
_images/casestudies_hero.png

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Case #1: Code Generation (Python USD) with USD Code

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  • Case Studies
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Last updated on Jul 03, 2025.