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Learn how to generate synthetic data for AI and machine vision applications using Unreal Engine's native tools and features in this conference talk from Unreal Fest Orlando 2025. Discover how major companies like Boeing, Tesla, Microsoft, and Apple leverage synthetic data to train computer vision models at a fraction of the cost of manual data collection while enabling simulation of edge cases that would be too costly or dangerous to recreate in real-world scenarios. Explore Boeing's custom Editor Utility Widgets that allow data scientists with minimal Unreal Engine knowledge to customize and generate their own datasets by ingesting various data sources including flight logs, car paths, and CAD properties to populate Sequencer. Master the process of labeling and annotating images generated by Unreal Engine in multiple formats to ensure compatibility with popular machine learning architectures and frameworks like YOLOv8. Understand how Unreal Engine can emulate camera intrinsic properties to create realistic synthetic visual data for virtually any computer vision use case, addressing the critical bottleneck of data availability that often limits AI development projects.
