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face_recognition

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Python

Project Description

The world's simplest facial recognition api for Python and the command line

face_recognition: The world's simplest facial recognition api for Python and the command line

Project Title

face_recognition — The world's simplest facial recognition API for Python and the command line

Overview

face_recognition is a Python library that simplifies facial recognition tasks, offering a high-accuracy deep learning model based on dlib. It enables developers to easily find and manipulate faces in images, identify individuals, and perform real-time face recognition. The library is known for its ease of use and robust performance, making it a popular choice for various applications.

Key Features

  • High-accuracy face detection and recognition with a 99.38% accuracy rate on the Labeled Faces in the Wild benchmark.
  • Command line tool for face recognition on image folders.
  • Facial feature manipulation for applications like digital makeup.
  • Real-time face recognition capabilities with Python libraries.

Use Cases

  • Security systems for access control and surveillance.
  • Social media platforms for user verification and content tagging.
  • Retail environments for customer identification and personalized experiences.
  • Law enforcement for suspect identification and forensic analysis.

Advantages

  • Easy-to-use API that simplifies complex facial recognition tasks.
  • High accuracy and robust performance in various environments.
  • Open-source and actively maintained, with a large community for support.

Limitations / Considerations

  • Not officially supported on Windows, which may limit its use in certain development environments.
  • Performance may vary depending on the quality and resolution of input images.
  • Requires a good understanding of Python and the dlib library for advanced customization.

Similar / Related Projects

  • OpenCV: A comprehensive computer vision library that includes face recognition capabilities but is more complex to use.
  • DeepFace: A deep learning-based face recognition system that offers high accuracy but requires significant computational resources.
  • FaceNet: A face recognition system using a deep neural network that is trained to directly learn a mapping from face images to a compact Euclidean space.

Basic Information

Requirements:

  • Python 3.3+ or Python 2.7
  • macOS or Linux (Windows not officially supported, but might work)

📊 Project Information

🏷️ Project Topics

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📚 Documentation


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Project Information

Created on 3/3/2017
Updated on 9/17/2025