DrivAerNet++: Annotations

In addition to the CFD simulation data, our dataset includes detailed annotations for various car components (29 labels), such as wheels, side mirrors, and doors. These annotations are instrumental for a range of machine learning tasks, including classification, semantic segmentation, and object detection. The comprehensive labeling can also facilitate automated CFD meshing processes by providing precise information about different car components. By incorporating these labels, our dataset enhances the utility for developing and testing advanced algorithms in automotive design and analysis.

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<b>Strict Licensing Notice</b>: DrivAerNet/DrivAerNet++ is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) and is exclusively for non-commercial research and educational purposes. Any commercial use—including, but not limited to, training machine learning models, developing generative AI tools, creating software products, running new simulations using the provided geometries or any derived geometries, or other commercial R&D applications—is strictly prohibited. Unauthorized commercial use of DrivAerNet/DrivAerNet++, or any derived data, will result in enforcement by the MIT Technology Licensing Office (MIT TLO) and may carry legal consequences.

除计算流体动力学（Computational Fluid Dynamics，CFD）仿真数据外，本数据集还包含各类汽车部件的详细标注（共29个标签），涵盖车轮、后视镜及车门等部件。此类标注可有效支撑分类、语义分割、目标检测等多种机器学习任务；同时，通过提供不同汽车部件的精准信息，全面的标注还可助力自动CFD网格划分流程。本数据集通过融入此类标注，提升了其在汽车设计与分析领域开发、测试先进算法时的实用价值。

【严格许可声明】：DrivAerNet/DrivAerNet++ 采用知识共享署名-非商业性使用4.0国际许可协议（CC BY-NC 4.0）发布，仅可用于非商业性研究与教育用途。任何商业使用行为均严格禁止，包括但不限于训练机器学习模型、开发生成式AI (Generative AI)工具、制作软件产品、使用提供的几何模型或其衍生几何模型开展新仿真，以及其他商业研发应用。未经授权对DrivAerNet/DrivAerNet++或其衍生数据进行商业使用，将由麻省理工学院技术许可办公室（MIT TLO）追究责任，并可能承担相应法律后果。

搜集汇总

背景与挑战

背景概述

该数据集提供29类汽车部件的详细标注，支持机器学习任务和CFD网格自动化处理，适用于非商业的汽车设计研究。数据规模达70.2GB，包含多种压缩文件，需通过Globus工具下载。