The DeepWheel dataset is a publicly available resource designed to facilitate data-driven research in wheel design. It includes topology-optimized images, photorealistic renderings, depth estimation outputs, 3D models, and structural analysis data.

This open dataset, meticulously crafted through the synergy of 3D deep learning technology and Finite Element Analysis (FEA) simulations, serves as a robust foundation for various advanced engineering applications. It is particularly suited for 3D data processing and machine learning endeavors demanding substantial data volume.