content(cms): create Resource "facial-recognition-in-historical-photo…

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content/posts/facial-recognition-in-historical-photographs-with-artificial-intelligence-in-python/index.mdx

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+---
+title: Facial Recognition in Historical Photographs with Artificial Intelligence
+  in Python
+lang: en
+date: 2024-12-11T00:57:51.301Z
+version: 1.0.0
+authors:
+  - goldberg-charles
+  - haala-zach
+editors:
+  - taurino-giulia
+tags:
+  - dh
+  - open-education
+  - open-access
+  - python
+  - machine-learning
+categories:
+  - programming-historian
+featuredImage: images/facial-recognition-ai-python-original.jpg
+abstract: In this lesson, you’ll learn computer vision and machine learning
+  principles for object recognition, and how to apply these principles using
+  Python to recognize and classify smiling faces in historical photographs.
+domain: Social Sciences and Humanities
+targetGroup: Domain researchers
+type: training-module
+remote:
+  date: 2024-06-25T01:02:00.000Z
+  url: https://doi.org/10.46430/phen0119
+  publisher: ProgHist Ltd
+licence: ccby-4.0
+toc: false
+draft: false
+uuid: eFnqYcKuWThxjAb99JYPr
+---
+#### 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+- Extract pictures of human faces from historical documents digitized in the PDF format using Python, and how to organize them for further analysis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
+
+<ExternalResource title="Interested in learning more?" subtitle="Check out this lesson on Programming Historian's website" url="https://doi.org/10.46430/phen0119" />