OneScience-Group/ShapeNetCar
ShapeNetCar Dataset Description The ShapeNetCar dataset comes from the paper Learning Three-dimensional Flow for Interactive Aerodynamic Design by Umetani and Bickel, published in ACM Transactions on Graphics (SIGGRAPH 2018). Based on three-dimensional car geometries from ShapeNet, the dataset uses CFD simulations to obtain velocity fields around the vehicles, surface pressure, and drag coefficients. It supports research on rapidly predicting aerodynamic physical… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/ShapeNetCar.
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1resource:2 id: OneScience/ShapeNetCar3 name: ShapeNetCar4 domain: cfd5 domain_tags:6 - cfd7 - external_aerodynamics8 - car_design9 task: flow_field_prediction10 task_tags:11 - car_design12 - pressure_prediction13 - velocity_prediction14 - drag_coefficient_evaluation15 modalities:16 - unstructured_mesh17 - point_cloud18 - graph19 input_formats:20 - npy21 - vtk22 - txt23 output_formats:24 - npy25 - vtk26 - png27 summary: ShapeNetCar 汽车外流场数据集，包含原始训练数据、预处理图数据、归一化统计量和可视化参考文件。28platform_resource:29 primary:30 platform: modelscope31 repo_id: OneScience/ShapeNetCar32 repo_type: dataset33 url: https://modelscope.cn/datasets/OneScience/ShapeNetCar34 revision: main35 readme_path: README.md36 manifest_path: manifest.yaml37 mirrors: []38 access:39 visibility: public40 license: null41relations:42 required_datasets: []43 optional_datasets: []44 compatible_models:45 - id: OneScience/Transolver-Car-Design/mlcfd_data46 role: train_data47 required_for:48 - preflight49 - train50 - inference51 - evaluate52 - visualize53 resource_ref:54 platform: modelscope55 repo_id: OneScience/Transolver-Car-Design/mlcfd_data56 repo_type: model57 url: https://modelscope.cn/models/OneScience/Transolver-Car-Design/mlcfd_data58 revision: main59 readme_path: README.md60 manifest_path: manifest.yaml61 expected_local_path: session_workdir/data/mlcfd_data62 adapter: null63