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SemOI: A Semantical Augmentation for the Open Images Detection
Rostock University.
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. Rostock University.ORCID iD: 0000-0002-7431-8412
Rostock University.
2021 (English)In: Proceedings of the FRUCT’28 / [ed] S. Balandin, V. Deart, & T. Tyutina, 2021, p. 610-613Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a semantic extension to the popular Open Image dataset. Using a python script, we transferred the JSON-representation into RDF(S) and then extended the 576 detectable classes by 392 scenes connected by 57 intermediate objects called occasions. The extension allows the inferring of possible locations and suitable semantic objects for the detected it ems. Using a GUI, a user can upload a picture and calculate a numerical value for the possibility of a given semantic augmentation.

Place, publisher, year, edition, pages
2021. p. 610-613
Series
Proceeding of the ... Conference of FRUCT Association., E-ISSN 2343-0737
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-55856ISBN: 978-952-69244-4-1 (electronic)OAI: oai:DiVA.org:hj-55856DiVA, id: diva2:1649980
Conference
28th Conference of Open Innovations Association FRUCT, Moscow, Russia, 25-29 January 2021
Available from: 2022-04-05 Created: 2022-04-05 Last updated: 2022-04-05Bibliographically approved

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Sandkuhl, Kurt

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