MapPool : bubbling up an extremely large corpus of maps for AI

Published in:: Abstracts of the ICA
Vol. 8.2024 (11.11.2024), art. no. 22, p. 1-2
Volume:: 8.2024
Publication date:: 11.11.2024
URN:: urn:nbn:de:0307-20250820-004-2
DOI:: 10.5194/ica-abs-8-22-2024
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-2, 786,40 kB) : 1 Illustration, 1 Tabelle, 1 Textdatei (PDF)
Keywords:: machine learning; dataset; map classification; foundation model; FM; Maschinelles Lernen^GND; Datensatz^GND; Kartenklassifizierung; Basismodell
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-8-22-2024
URL:: https://ica-abs.copernicus.org/articles/8/22/2024/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/8/22/2024/ica-abs-8-22-2024.pdf
Hosting institution:: Swiss Federal Institute of Technology Lausanne (EPFL) [CH]
Hosting institution:: Internationale Forschungseinrichtungen
Statement of responsibility:: Raimund Schnürer
Bibliographic notes:: Published in: Abstracts of the ICA, Volume 8, 2024 - 2024 ICA Workshop on AI, Geovisualization, and Analytical Reasoning – CartoVis24; 7 September 2024, University of Warsaw, Warsaw, Poland; Editors: Arzu Cöltekin, Izabela Golebiowska, Pyry Kettunen, Jolanta Korycka-Skorupa, Anthony Robinson, Robert E. Roth, and Katarzyna Slomska-Przech | https://ica-abs.copernicus.org/articles/8/index.html