Ethical AI and Librarianship
A Resource Guide
Facial Recognition in Historical Photographs with Artificial Intelligence in Python
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Field
|
Description |
|---|---|
| Title | Facial Recognition in Historical Photographs with Artificial Intelligence in Python |
| Type | Courses & Tutorials |
| Creator | Charles Goldberg. Zach Haala. |
| Link | https://programminghistorian.org/en/lessons/facial-recognition-ai-python |
| Creation Date | 06/25/2024 |
| Last Updated Date | -- |
| Summary | This hands-on tutorial introduces computer vision (CV) and machine learning (ML) techniques in the context of historical archives. While prior technical expertise is not required, participants with experience in Python, Google Colab, or Jupyter Notebooks will find the content more accessible. Through the tutorial, learners will gain a foundational understanding of how CV models interpret visual data and how ML techniques can be applied to analyze historical documents through provided yearbook collections. Using Python 3.0, participants will learn to extract and classify human faces from archival images and explore the application of pre-trained image recognition models for cultural heritage research. |
| Topic | AI. Computer Vision. |
| Source and Link | Programming Historian. https://programminghistorian.org |
| Access | Open (CC-BY 4.0) |
| Accessibility | -- |
| Audience | General |
| Platform or Format | Web |
| Length | -- |
| Geography | General |
| Language | USA. CAN. GBR. |
| Description Date | 06/06/2025 |