A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Explore a large collection of car designs and their aerodynamic simulations for research or design purposes.
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DrivAerNet has 540 stars on GitHub. It has been forked 85 times. DrivAerNet is written mainly in Python. It has been in active development since 2024. Its main topics are 3d-geometry, aerodynamics, car-design, cfd.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
DrivAerNet is an open-source project.
Yes. DrivAerNet is free and open source — you can use, modify and self-host it.
DrivAerNet is written mainly in Python.
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