for complex tasks
Since the image data is generated, the attributes of every pixel are known. Complex images are automatically labeled, enabling you to efficiently and cost-effectively train complex models.
Model camera placement, image modality, resolution, and many more attributes to inform the overall design of your computer vision systems. Using synthetic data enables you to make smarter choices and to better understand model performance before building and deploying hardware.