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Title:

SegmentationUQ

Document type:
Forschungsdaten
Publication date:
17.05.2024
Responsible:
Zhu, Xiaoxiang
Authors:
Wasif, Dawood (1; 2) ; Shahzad, Muhammad (1, 2) ; Wang, Yuanyuan (1) ; Zhu, Xiaoxiang (1)
Author affiliation:
1. Technical University of Munich
2. SEECS, National University of Sciences & Technology, Pakistan
Publisher:
TUM
Identifier:
doi:10.14459/2024mp1741760.001
Concept DOI:
doi:10.14459/2024mp1741760
End date of data production:
31.01.2024
Subject area:
DAT Datenverarbeitung, Informatik; GEO Geowissenschaften
Resource type:
Simulationen / simulations; Abbildungen von Objekten / image of objects
Data type:
Bilder / images
Description:
SegmentationUQ is a synthetic "error-free" benchmark dataset for semantic segmentation of building footprints and evaluation of uncertainty quantification methods. This proposed synthetic dataset not only contains labels of the building masks but also the reference aleatoric uncertainty given different noise level and noise type of the input images.
Method of data assessment:
We render the data from 3D building models and very high resolution aerial images of Berlin, Germany in the software Blender with the Cycles engine with rendering settings emulating real-world environmental conditions closely. Images with different noise levels, noise distributions, and viewing angles of the sensors were rendered.
Links:

Additional contact if questions arise:  Wang, Yuanyuan y.wang@tum.de   

Key words:
Semantic Segmentation; Uncertainty Quantification; Synthetic Data; Uncertainty Labels; Benchmark; Building Segmentation
Technical remarks:
Representative Dataset: View and download (39 GB total, 412 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1741760.rep):
rsync rsync://m1741760.rep@dataserv.ub.tum.de/m1741760.rep /

Entire Dataset: View and download (3,9 TB total, 40009 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1741760.001):
rsync rsync://m1741760.001@dataserv.ub.tum.de/m1741760.001/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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