face_recognition
A simple Python library and CLI tool for facial recognition, detection, and feature manipulation using dlib's deep learning models.
What is face_recognition?
Face Recognition is a Python library and command-line tool that provides facial recognition, detection, and feature manipulation capabilities. It uses dlib's deep learning models to locate faces, identify facial landmarks, and compare faces for recognition tasks. The library simplifies complex computer vision tasks into a few lines of code, making it accessible for prototyping and production applications.
Python developers, researchers, and hobbyists working on computer vision projects, especially those needing facial analysis without deep expertise in machine learning. It's also suitable for educators and students exploring facial recognition technology.
Developers choose Face Recognition for its simplicity, high accuracy (99.38% on LFW), and comprehensive feature set—all in one package. Unlike lower-level libraries, it abstracts the complexity of dlib's models into an intuitive API and CLI, reducing development time while maintaining performance.
Overview
The world's simplest facial recognition api for Python and the command line
Use Cases
Best For
- Building facial recognition systems for photo organization
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