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Facial Recognition in Historical Photographs with Artificial Intelligence in Python

Reviewed by:

  • Steven Verstockt
  • Daniel van Strien

Learning outcomes

After completing this lesson, you will be able to:

  • Understand the basics of computer vision machine learning
  • Understand how a computer ‘views’ an image
  • Extract pictures of human faces from historical documents digitized in the PDF format using Python, and how to organize them for further analysis
  • Apply a pre-trained computer vision model to a historical dataset
Interested in learning more?

Check out this lesson on Programming Historian's website

Go to this resource

Cite as

Charles Goldberg and Zach Haala (2024). Facial Recognition in Historical Photographs with Artificial Intelligence in Python. Version 1.0.0. Edited by Giulia Taurino. ProgHist Ltd. [Training module]. https://doi.org/10.46430/phen0119

Reuse conditions

Resources hosted on DARIAH-Campus are subjects to the DARIAH-Campus Training Materials Reuse Charter

Full metadata

Title:
Facial Recognition in Historical Photographs with Artificial Intelligence in Python
Authors:
Charles Goldberg, Zach Haala
Domain:
Social Sciences and Humanities
Language:
en
Published to DARIAH-Campus:
12/11/2024
Originally published:
6/25/2024
Content type:
Training module
Licence:
CCBY 4.0
Sources:
Programming Historian
Topics:
DH, Open education, Open access, Python, Machine Learning
Version:
1.0.0