DeepFace AI
Overview
A Python framework for facial recognition and attribute analysis, supporting multiple state-of-the-art models.
DeepFace AI is a lightweight Python framework for facial recognition and attribute analysis, including age, gender, emotion, and race detection. It serves as a hybrid framework that wraps several state-of-the-art models, such as VGG-Face, FaceNet, OpenFace, DeepID, ArcFace, Dlib, SFace, and GhostFaceNet. DeepFace AI enables developers to perform face verification, recognition, and attribute analysis with high accuracy, facilitating applications in security, authentication, and social media.
Some of the use cases of DeepFace AI:
- Implementing facial recognition systems in security and surveillance.
- Developing authentication mechanisms based on facial verification.
- Analyzing facial attributes for demographic studies.
- Enhancing social media platforms with facial analysis features.
- Conducting research in computer vision and facial analysis.
Pricing model:
Code access:
DeepFace AI Video:
We use cookies to enhance your experience. By continuing to use this site, you agree to our use of cookies. Learn more