Computer vision and the creation of a database of printers’ ornaments
Research output: Contribution to journal › Article › peer-review
Colleges, School and Institutes
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|
- computer vision, typography, Eighteenth Century Studies