This paper investigates a new method for generating high-quality synthetic training data for object detection (OD) algorithms. Utilizing photogrammetry, we transform real-world objects into 3D digital replicas in Unreal Engine 5 (UE5). We then simulate diverse scenarios, capturing images of these objects at varying angles, backgrounds, and textures. To evaluate the data quality, we experiment with...Show More
