SAGC-A68

SAGC-A68数据集由维也纳技术大学设计计算组创建，包含68个从公寓建筑的数字3D模型中自动生成的空间访问图。该数据集适用于开发图深度学习模型，特别是用于空间功能和空间元素的分类。数据集涵盖了来自13个国家的建筑模型，旨在通过自动化分类减少建筑模型分析中的输入准备工作和错误。SAGC-A68的应用领域包括建筑安全、能源使用和疏散路径分析等。

The SAGC-A68 dataset was created by the Design and Computing Group at the Vienna University of Technology. It contains 68 spatial access graphs automatically generated from digital 3D models of apartment buildings. This dataset is suitable for developing graph deep learning models, particularly for the classification of spatial functions and spatial elements. Covering building models from 13 countries, the dataset aims to reduce input preparation work and errors in building model analysis through automated classification. Application areas of SAGC-A68 include building safety, energy usage, evacuation route analysis, and other related fields.