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Document type:
Forschungsdaten 
Publication date:
20.12.2021 
Responsible:
Wysocki, Olaf 
Authors:
Wysocki, Olaf ; Zhang, Jiarui ; Stilla, Uwe 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
TUM-FAÇADE 
Time of production:
01.12.2021 
Subject area:
BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; GEO Geowissenschaften 
Resource type:
Experimente und Beobachtungen / experiments and observations; Abbildungen von Objekten / image of objects; Statistik und Referenzdaten / statistics and reference data 
Other resource types:
Annotated point clouds 
Data type:
Texte / texts; Datenbanken / data bases 
Description:
The dataset contains outdoor MLS point clouds with facade-level labels (i.e., windows, doors, balconies, moldings, etc.) for the TUM Campus area.
• 14 annotated facades and 15 non-annotated for further benchmark extension or testing
• 118 mln annotated points
• in local and global coordinate reference system
• settings file for adding your own data
 
Method of data assessment:

The TUM-MLS 2016 raw point clouds (https://s.fhg.de/mls1) as the source dataset and Hitachi's Semantic Segmentation Editor (https://github.com/Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor) for the annotation process.

 
Links:

The database was created on a basis of the TUM-MLS 2016 dataset: https://doi.org/10.3390/rs12111875
https://s.fhg.de/mls1

 
Key words:
MLS point clouds; semantic segmentation, 3D reconstruction, facade reconstruction 
Technical remarks:
View and download (22 GB total, 24 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1636761):
rsync rsync:// m1636761.001@dataserv.ub.tum.de/ m1636761.001/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0 

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