Project Title

insightface — State-of-the-art 2D and 3D Face Analysis Project

Overview

InsightFace is a comprehensive open-source project focused on 2D and 3D face analysis, offering state-of-the-art models for face detection, recognition, and alignment. It stands out for its advanced face-swapping models and cross-platform SDK, making it a versatile solution for various applications in facial recognition and analysis.

Key Features

Advanced face detection, recognition, and alignment models
Face-swapping models with high performance
Cross-platform face recognition SDK in C/C++ (InspireFace)
Support for multiple operating systems and various backends

Use Cases

Researchers and developers in the field of facial recognition and analysis
Security systems for access control and surveillance
Social media platforms for user verification and content moderation
Entertainment applications for face swapping and effects

Advantages

Open-source and MIT-licensed, allowing for both academic and commercial usage
Regular updates and integration of cutting-edge models
Active community and contributions from leading researchers
Cross-platform compatibility and support for various backends

Limitations / Considerations

Training data and models trained with these data are available for non-commercial research purposes only
May require significant computational resources for training and deployment of some models
Users must adhere to the license policy for non-commercial research purposes

dlib: A modern C++ toolkit containing machine learning algorithms and tools for creating complex software. It differs in that it is not specifically focused on face analysis but offers a broader range of applications.
OpenCV: An open-source computer vision and machine learning software library. It provides general-purpose computer vision functionality, whereas InsightFace specializes in face analysis.
FaceNet: A popular open-source project for face recognition using deep neural networks. It differs in its approach and the specific models offered, focusing more on face recognition rather than the broader face analysis capabilities of InsightFace.

Basic Information

GitHub: https://github.com/deepinsight/insightface
Stars: 25,878
License: MIT License (code), Non-commercial research purposes (data and models)
Last Commit: 2025-07-16

📊 Project Information

Project Name: insightface
GitHub URL: https://github.com/deepinsight/insightface
Programming Language: Python
⭐ Stars: 25,878
🍴 Forks: 5,677
📅 Created: 2017-09-01
🔄 Last Updated: 2025-07-16

🏷️ Project Topics

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🎮 Online Demos

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insightface

Project Description