CMAB-The World's First National-Scale Multi-Attribute Building Dataset

This data is the building dataset with a total rooftop area of 23.6 billion square meters in 3,667 natural cities in China, including the attribute of building rooftop, height, structure, function, age, style and quality, as well as the code files used to calculate these data. The deep learning models used are OCRNet, XGBoost, fine-tuned CLIP and Yolo-v8. Please refer to the paper and README file for details of specific parameters. This building data is the original version, and the processed version can be viewed here: 10.6084/m9.figshare.27992417. Related papers are published in Scientific Data.本数据集为覆盖中国3667个自然城市的建筑数据集，总屋顶面积达236亿平方米，涵盖建筑屋顶、高度、结构、功能、年代、风格与质量等属性，同时包含用于计算上述数据的代码文件。本数据集所采用的深度学习模型包括OCRNet、XGBoost、微调后的CLIP以及Yolo-v8。具体参数的详细信息请参阅相关论文与README文件。本建筑数据集为原始版本，处理后的版本可通过链接10.6084/m9.figshare.27992417获取。相关论文发表于《Scientific Data》期刊。