Mohamedelrefaie/DrivAerNet
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
This dataset offers 8,150 diverse car designs with detailed aerodynamic simulations, helping automotive engineers and designers improve vehicle performance. You get 3D car models and their computational fluid dynamics (CFD) results, allowing you to train machine learning models for faster aerodynamic analysis and design optimization. It's built for those who develop AI tools for car design.
484 stars.
Use this if you are a researcher or automotive engineer building or evaluating machine learning models to predict and optimize car aerodynamics.
Not ideal if you need physical testing data or simply want a visual catalog of car designs without the underlying simulation data.
Stars
484
Forks
71
Language
Python
License
—
Category
Last pushed
Dec 10, 2025
Commits (30d)
0
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