ageitgey/face_recognition
This system is a Python-based face recognition library that provides tools for detecting and identifying human faces in images and video streams. It supports both CPU and GPU acceleration, offering batch processing and multi-core parallel execution for improved performance. The library includes command-line interfaces, Jupyter notebook examples, and Docker configurations for easy deployment and experimentation.
60.6
Adequate · 2 August 2026
2k
lines of production code
Python
primary language
1
bus factor · 55 authors in all
3
measurements over time
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About this page
- The description of this project is derived from its own commit history, not from its README.
- The score is its highest published measurement, taken on 2 August 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
- Measured at commit 9f3061aaee — the exact code this score is about.
- Scored under rubric rubric-2026.08.18. Score the same commit under that rubric and you get the same number.