Open-source facial recognition and analysis framework.

Screenshot of DeepFace AI

About DeepFace AI

DeepFace is a lightweight, open-source framework for facial recognition, facial attribute analysis, and deep learning research. Written in Python and built on TensorFlow and Keras, DeepFace supports state-of-the-art models like VGG-Face, Google FaceNet, OpenFace, and Dlib. It can handle tasks such as face verification, recognition, and age, gender, and emotion analysis with ease. Designed for developers and researchers, DeepFace is widely used in academic and real-world applications, including security systems, personalization, and sentiment analysis.

Agentic

Developer
DeepFace (Open-Source Community)
Added
69 days ago

Analytics

154
Impressions
30
Views
5
Clicks

AI Agent Categories

Computer Vision

AI agents that specialize in processing and interpreting visual data from the world. These agents can perform image recognition, object detection, facial recognition, video analysis, and other tasks that involve analyzing and understanding visual content.

AI Security

AI agents focused on enhancing cybersecurity and protecting digital environments. These agents can monitor networks, detect vulnerabilities, prevent cyberattacks, perform threat analysis, and safeguard sensitive data, ensuring robust protection against evolving security risks.

AI Agents

Autonomous and intelligent AI systems designed to independently plan, coordinate, and execute complex tasks. These agents leverage advanced models and frameworks to analyze data, make decisions, and perform actions across diverse applications such as productivity, customer support, or operational management.

Science

AI agents focused on advancing scientific research and discoveries across various fields, including biology, physics, chemistry, and environmental science. These agents assist in data analysis, simulation, hypothesis generation, and experimental design, helping researchers accelerate innovation and gain deeper insights.

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