Automatic room type classification using machine learning for two-dimensional residential building plans

Zhao, X., Wang, T.H. orcid.org/0000-0002-4500-8415 and Peng, C. orcid.org/0000-0001-8199-0955 (2022) Automatic room type classification using machine learning for two-dimensional residential building plans. In: Pak, B., Wurzer, G. and Stouffs, R., (eds.) Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe. eCAADe 2022, 13-16 Sep 2022, Ghent, Belgium. eCAADe (Education and research in Computer Aided Architectural Design in Europe) and KU Leuven Faculty of Architecture , pp. 593-600. ISBN 9789491207334

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Pak, B.
  • Wurzer, G.
  • Stouffs, R.
Copyright, Publisher and Additional Information:

© 2022 eCAADe. Reproduced with permission from the copyright holder.

Keywords: Floor Plan Semantic Retrieval; Room Type Classification; Machine Learning
Dates:
  • Published: September 2022
  • Published (online): September 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture and Landscape
Depositing User: Symplectic Sheffield
Date Deposited: 06 Mar 2025 09:41
Last Modified: 11 Mar 2025 10:00
Published Version: https://ecaade.org/prev-conf/archive/ecaade2022/ku...
Status: Published
Publisher: eCAADe (Education and research in Computer Aided Architectural Design in Europe) and KU Leuven Faculty of Architecture
Refereed: Yes
Related URLs:
Open Archives Initiative ID (OAI ID):

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