SemOI: A Semantical Augmentation for the Open Images Detection

Reiz, Achim and Sandkuhl, Kurt and Lantow, Birger (2021) SemOI: A Semantical Augmentation for the Open Images Detection. In: 28TH CONFERENCE OF FRUCT ASSOCIATION.

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—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 det ect ed it ems. Using a GUI, a user can upload a pict ure and calculate a numerical value for the possibility of a given semantic augmentation.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Depositing User: Arlt
Date Deposited: 24 Oct 2022 19:42
Last Modified: 06 Mar 2023 15:16

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