DeepFace is a Python library for facial recognition and facial attribute analysis. It provides an easy-to-use interface for tasks like identity verification, emotion detection, age estimation, gender classification, and race prediction. DeepFace integrates multiple deep learning models and frameworks to deliver high accuracy in computer vision applications.

Features of DeepFace:

• Performs face recognition and verification using multiple backends such as VGG-Face, FaceNet, OpenFace, DeepID, ArcFace, and Dlib.
• Supports facial attribute analysis including age, gender, emotion, and race detection.
• Compatible with TensorFlow and PyTorch deep learning frameworks.
• Works seamlessly with OpenCV for image preprocessing and detection.
• Includes pre-trained models for quick and efficient use.
• Supports GPU acceleration with CUDA/cuDNN for faster performance.
• Actively maintained and widely used in research and real-world AI applications.

To check the installed version of DeepFace, run this command in your environment:

$ python3 -m pip show deepface

Disclaimer: DeepFace is released under the MIT License and maintained by an open-source community of contributors. Users are responsible for correct installation and usage in their specific projects. Always refer to the official documentation for the most accurate and up-to-date information.