Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)
Resource type
Learning object
Date published
2022
Abstract
This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of training a computer vision model to perform image classification.
Contributor (person)
Siddiqui, Nabeel
Wermer-Colan, Alex
Contributor (organisation)
British Library
Living with Machines
Project(s)
Living with Machines
Funder
| Funder name | Awards |
Arts and Humanities Research Council | AH/S01179X/1 |
Journal title
Programming Historian
Publisher
University of Sussex
eISSN
2397-2068
Official URL
Keywords
Collection