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

Published: 10 March 2025| Version 5 | DOI: 10.17632/b4t2wxhn2y.5
Contributors:
,
, Ying Long

Description

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.

Files

Institutions

Tsinghua University

Categories

Remote Sensing, Urban Planning, Building, 3D Geographical Information System

Funding

National Natural Science Foundation of China

62394331; 62394335; 52178044

Licence