Simulation-Driven Dataset Generation

This project automated the generation of synthetic training data for ballast analysis tasks.

• Built a desktop software system using the Blender Python API.
• Generated scalable 2D and 3D datasets through simulation and physically based rendering.
• Improved downstream model robustness under limited labeled real-world data.