Projects per year
Abstract
This article describes the creation of a database of over 1 million images of eighteenth-century printers’ ornaments (or fleurons) using computer vision, and how the database was refined using machine learning. The successes and limitations of the method used are discussed, and the purpose of the database for research in the humanities is outlined. The article concludes with a summary of recent developments in the project, which include the addition of a visual search function provided by the Seebibyte Project.
Original language | English |
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Number of pages | 18 |
Journal | Digital Humanities Quarterly |
Volume | 15 |
Issue number | 1 |
Publication status | Published - 21 May 2021 |
Bibliographical note
Funding Information:[5] Development and maintenance of VISE and VIC is supported by EPSRC programme grant Seebibyte: Visual Search for the Era of Big Data
Publisher Copyright:
© 2021, Alliance of Digital Humanities Organisations. All rights reserved.
Keywords
- computer vision
- typography
- Eighteenth Century Studies
Fingerprint
Dive into the research topics of 'Computer vision and the creation of a database of printers’ ornaments'. Together they form a unique fingerprint.Projects
- 1 Finished
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Compositor: Recovering the Grammar of Ornament
Arts and Humanities Research Council
1/12/20 → 26/02/23
Project: Research Councils