Swindall, Matthew I;
Player, Timothy;
Keener, Ben;
Williams, Alex C;
Brusuelas, James H;
Nicolardi, Federica;
D'Angelo, Marzia;
... Wallin, John F; + view all
(2022)
Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images.
In: De Raedt, Luc, (ed.)
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, Vienna.
(pp. pp. 4973-4979).
IJCAI: Vienna, Austria.
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Abstract
Character recognition models rely substantially on image datasets that maintain a balance of class samples. However, achieving a balance of classes is particularly challenging for ancient manuscript contexts as character instances may be significantly limited. In this paper, we present findings from a study that assess the efficacy of using synthetically generated character instances to augment an existing dataset of ancient Greek character images for use in machine learning models. We complement our model exploration by engaging professional papyrologists to better understand the practical opportunities afforded by synthetic instances. Our results suggest that synthetic instances improve model performance for limited character classes, and may have unexplored effects on character classes more generally. We also find that trained papyrologists are unable to distinguish between synthetic and non-synthetic images and regard synthetic instances as valuable assets for professional and educational contexts. We conclude by discussing the practical implications of our research.
| Type: | Proceedings paper |
|---|---|
| Title: | Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images |
| Event: | Thirty-First International Joint Conference on Artificial Intelligence (IJCAI 2022) |
| Dates: | 23 Jul 2022 - 29 Jul 2022 |
| ISBN-13: | 978-1-956792-00-3 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.24963/ijcai.2022/689 |
| Publisher version: | https://doi.org/10.24963/ijcai.2022/689 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Text, literature and creative language, Theory and philosophy of arts and creativity in AI systems, Support of human creativity, domains of art or creativity |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Greek and Latin |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10206762 |
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