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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.
|Number of pages||18|
|Journal||Digital Humanities Quarterly|
|Publication status||Published - 21 May 2021|
Bibliographical noteFunding Information:
 Development and maintenance of VISE and VIC is supported by EPSRC programme grant Seebibyte: Visual Search for the Era of Big Data
© 2021, Alliance of Digital Humanities Organisations. All rights reserved.
- computer vision
- Eighteenth Century Studies