This talk presents a pipeline that creates synthetic data to train computer vision models for use in extended reality (XR) applications. By generating over 100,000 images using Blender, we trained three distinct models. These models, trained on Snellius, demonstrate how synthetic data can effectively address real-world challenges in complex XR environments. The talk will focus on the benefits and potential of synthetic data for computer vision, showcasing how visualization tools like Blender can be integral in creating robust, adaptable models for practical use.