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#

face-classifier

Here are 17 public repositories matching this topic...

Face model to classify gender and race. Trained on LFWA+ Dataset.

  • UpdatedMay 25, 2021
  • Jupyter Notebook

Face classification on JavaScript

  • UpdatedJan 10, 2021

Photo classifier per person

  • UpdatedJun 23, 2019
  • Python

It is a Easy, powerful and Simple face verification system.

  • UpdatedAug 26, 2019
  • Python

This project contains an implemented version of Face Detection using OpenCV and Mediapipe. This is a code snippet and can be used in projects.

  • UpdatedOct 2, 2021
  • Python

Solve classification of an image into face and non-face using 5 different techniques

  • UpdatedSep 24, 2018
  • Python

The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no …

  • UpdatedNov 26, 2019
  • Jupyter Notebook

This is a self mini project that I undertook for my learning process. I have taken an episode from my favourite TV series called The Office (US) S06E01. Using this episode I have extracted images & using those images I have classified 17 characters using CV2 and Facenet Model.

  • UpdatedFeb 9, 2022
  • Jupyter Notebook

AI Driven Face Recognizer Model powered by Transfer Learning

  • UpdatedAug 29, 2020
  • Jupyter Notebook

Face Detection and Recognition on some famous personalities

  • UpdatedAug 1, 2020
  • Jupyter Notebook

Classifying by age and gender using a dataset of Northeast Asian face photos

  • UpdatedMar 28, 2023
  • Python

Final Project of Data Science & Algorithm Course

  • UpdatedMay 27, 2019
  • Jupyter Notebook

This repository contains a resnet-18 based face classifier. It can be used to train/test RAFD dataset.

  • UpdatedAug 15, 2020
  • Python

The aim of this project is to classify the faces. Olivetti Faces dataset has been used. In this dataset there are ten different images of each of 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no …

  • UpdatedNov 26, 2019
  • Jupyter Notebook

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