Learning building floor numbers from crowdsourced streetview images

Published in:: Abstracts of the ICA
Vol. 7.2024 (03.09.2024), art. no. 171, p. 1-2
Volume:: 7.2024
Publication date:: 03.09.2024
URN:: urn:nbn:de:0307-20251029-002-5
DOI:: 10.5194/ica-abs-7-171-2024
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-2, 16,33 MB) : 2 Illustrationen, 1 Textdatei (PDF)
Keywords:: Building Floor Number; Deep Learning^GND; Street-view Images; SVI; Mapillary; Crowdsource; Large Scale; Gebäude-Etagenummer; tiefgehendes Lernen; Straßenansichten-Bilder; Crowdsourcing^GND; Großer Maßstab^GND
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-7-171-2024
URL:: https://ica-abs.copernicus.org/articles/7/171/2024/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/7/171/2024/ica-abs-7-171-2024.pdf
Hosting institution:: Technical University of Munich (TUM) [DE]
Statement of responsibility:: Yifan Tian, Yao Sun, Xiao Xiang Zhu
Bibliographic notes:: Published in: Abstracts of the ICA, Volume 7, 2024 - European Cartographic Conference – EuroCarto 2024; 9–11 September 2024, TU Wien, Vienna, Austria; Editors: Georg Gartner, Florian Ledermann, and Andrea Binn | https://ica-abs.copernicus.org/articles/7/index.html