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Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1). / Strien, Daniel; Beelen, Kaspar; Wevers, Melvin et al.
In: Programming Historian, 17.08.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Strien, D, Beelen, K, Wevers, M, Smits, T & McDonough, K 2022, 'Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)', Programming Historian. https://doi.org/10.46430/phen0101

APA

Strien, D., Beelen, K., Wevers, M., Smits, T., & McDonough, K. (2022). Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1). Programming Historian. https://doi.org/10.46430/phen0101

Vancouver

Strien D, Beelen K, Wevers M, Smits T, McDonough K. Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1). Programming Historian. 2022 Aug 17. doi: 10.46430/phen0101

Author

Strien, Daniel ; Beelen, Kaspar ; Wevers, Melvin et al. / Computer Vision for the Humanities : An Introduction to Deep Learning for Image Classification (Part 1). In: Programming Historian. 2022.

Bibtex

@article{b0b7fe44351d480fac6c80f5c9f12672,
title = "Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)",
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.",
author = "Daniel Strien and Kaspar Beelen and Melvin Wevers and Thomas Smits and Katherine McDonough",
year = "2022",
month = aug,
day = "17",
doi = "10.46430/phen0101",
language = "English",
journal = "Programming Historian",

}

RIS

TY - JOUR

T1 - Computer Vision for the Humanities

T2 - An Introduction to Deep Learning for Image Classification (Part 1)

AU - Strien, Daniel

AU - Beelen, Kaspar

AU - Wevers, Melvin

AU - Smits, Thomas

AU - McDonough, Katherine

PY - 2022/8/17

Y1 - 2022/8/17

N2 - 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.

AB - 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.

U2 - 10.46430/phen0101

DO - 10.46430/phen0101

M3 - Journal article

JO - Programming Historian

JF - Programming Historian

ER -