DeepFace AI

A lightweight face recognition & facial attribute analysis framework in Python.

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PRICING STARTS

$

0 / Month

INDUSTRY

Technology

PRICING TYPE

Free

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ABOUT

DeepFace is an open-source Python library that wraps state-of-the-art face recognition models (e.g. VGG-Face, FaceNet, ArcFace, etc.) to provide a unified, easy-to-use API for facial verification, recognition, and attribute analysis (age, gender, emotion, race).

USE CASES

Identity Verification – Secure logins and authentication in apps.

Access Control – Face-based entry for devices, offices, or systems.

Security & Surveillance – Monitor and match faces in real-time video feeds.

Social Media & Photo Tagging – Automatically recognize and tag people.

Customer Analytics – Detect demographics (age, gender, emotions) for marketing insights.

Healthcare & Education – Analyze emotions or engagement in patients/students.

Research & Prototyping – Rapid experimentation for AI/ML and CV projects.

Smart Devices – Integrate face recognition in IoT, kiosks, or robots.

CORE FEATURES

Face Verification – Check if two images belong to the same person.

Face Recognition – Identify or search a face within a database.

Facial Attribute Analysis – Predict age, gender, emotion, and race from images.

Embedding Extraction – Generate vector embeddings for similarity and clustering.

Multi-Model Support – Works with VGG-Face, FaceNet, OpenFace, DeepID, ArcFace, Dlib, SFace.

Real-Time Analysis – Supports webcam and video stream input for live face analytics.

Easy API – Single function calls (DeepFace.verify, DeepFace.analyze, etc.) simplify usage.

Pre-processing Pipeline – Handles detection, alignment, normalization automatically.