Features for BIM annotations
Published: 27 October 2025| Version 1 | DOI: 10.17632/7yxvpbdkjm.1
Contributor:
Soheila BigdeliDescription
The current dataset is prepared to feed ML algorithms for door element annotation in buildings. The data are used to annotate 'Exits', 'Apartment Exits' and 'Normal Doors' on BIM model of high rise buildings in Belgium. For each door sample 13 features are defined and automatically extracted from Revit models. The datasets comprise manually labeled data with 2677 door samples from four high-rise building models, containing 217 'Exit' and 361 'Apartment Exit', and the remainder as 'Normal Doors' each with 13 attributes.
Files
Institutions
- Universiteit Gent
Categories
Fire Safety Design, Building Design