SFC-A68: A dataset for benchmarking space function and space access element classification methods in entire floors of multi-unit apartment buildings

SFC-A68: "A dataset for benchmarking space function and space access element classification methods in entire floors of multi-unit apartment buildings"

Authors: "Amir Ziaee, Georg Suter, Laura Keiblinger"

Copyright: "Design Computing Group TU Wien, 2024"

Credits: "Design Computing Group TU Wien"

License: "GNU GENERAL PUBLIC LICENSE Version 3"

Version: "1.0.2"

Maintainer: "Amir Ziaee"

Email: "[e-mail]"

Acknowledgments: "The authors gratefully acknowledge support by Grant Austrian Science Fund (FWF): I 5171-N, Laura Keiblinger, and participants in course '259.428-2021S Architectural Morphology' at TU Wien for data collection. "

Description: "The analysis of building models for usable area, building safety, and energy efficiency requires accurate classification data of spaces and related space elements such as doors. To reduce input model preparation effort and errors, automated classification of spaces and related space elements is desirable. We introduce the SFC-A68 dataset, which models entire floors of 275 multi-unit apartment buildings in 13 countries. The SFC-A68 consists of three data representation formats: tabular, graph, and multi-view image datasets that are derived from the same source data. It covere 22 space function and six space access element classes."