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DeepFace

Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.

Install / Use

/learn @swghosh/DeepFace
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

DeepFace

Introduction

Open source implementation of the renowned publication titled "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf published at Conference on Computer Vision and Pattern Recognition (CVPR) 2014.

DeepFace (CVPR14) Network Architecture

Implementation of this paper have been done using Keras (tf.keras). This project and necessary research was supported by the TensorFlow Research Cloud (TFRC). GCP resources have been used to train a million-scale machine learning model using Cloud TPUs.

Requirements

  • Python 3.5+
  • tensorflow>=1.14.0
  • matplotlib
$ pip install requirements.txt

or

$ python3 -m pip install requirements.txt

Installation

$ pip install git+https://github.com/swghosh/DeepFace.git

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View on GitHub
GitHub Stars208
CategoryEducation
Updated6h ago
Forks61

Languages

Python

Security Score

100/100

Audited on Mar 26, 2026

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