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