Machine learning meets library archives: Image Analysis to generate descriptive metadata

Files
UU-version2-MachineLearning-CatalystFund-WhitePaper.pdf(1.78 MB)
Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
LYRASIS; University of Utah
Abstract
$34,700 to develop and test a model for applying machine learning techniques to extract useful information from historical images to assist in and increase the efficiency of metadata creation for archives, libraries and museums of all types.
Description
Work on this project continues under a new title - “Sheeko: A computational helper to describe digital images” - at https://sheeko.org/.
Keywords
Machine learning, Metadata creation
Citation
URI
http://hdl.handle.net/20.500.12669/58
DOI
https://doi.org/10.48609/pt6w-p810
Collections
Catalyst Fund Projects