Work

Fruit annotations in artworks

Year: 2023

Type: dataset

Abstract: This dataset contains annotations of 33 types of fruits in a collection of 4685 images of artworks. It was annotated in the context of the INSIGHT ("Intelligent Neural Systems as Integrated Heritage Tools") project funded by the Belgian Federal Research Agency BELSPO under the BRAIN-be program. Project website: https://hosting.uantwerpen.be/insight/ The annotations have been done using the Cytomine web platform: https://cytomine.be The annotations are available for reuse without restrictions (CC-BY). Images are available upon request.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7777982

Authors: Kestemont, Mike, Daelemans, Walter, van Hulle, Dirk, Geurts, Pierre, Lasaracina, Karine, Van Keer, Ellen, Van de Cappelle, Lies, Verbruggen, Christophe, Chambers, Sally, Angenon, Els, Kerommes, Paelinck

Institutions: University of Antwerp, University of Liège, Royal Museums of Fine Arts of Belgium, Ghent University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393756933

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