Synthetic data has emerged as a vital tool in computer vision research, yet procedural generation using 3D computer graphics remains underexplored compared to generative adversarial networks (GANs). Our method offers greater control over generated images, making it particularly valuable for domains like…
Industrial-quality inspections, particularly those leveraging AI, require significant amounts of training data. In fields like injection molding, producing a multitude of defective parts for such data poses environmental and financial challenges. Synthetic training data emerge as a potential solution…