face-classifier

There are 17 repositories under face-classifier topic.

  • wondonghyeon/face-classification

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

    Language:Jupyter Notebook156121153
  • tupleblog/face-classification-js

    Face classification on JavaScript

  • YanngLiu/photo_classifier_per_person

    Photo classifier per person

    Language:Python7001
  • ravising-h/Face_Classification

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

    Language:Python4100
  • HxnDev/Live-Face-Detection

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

    Language:Python3104
  • nikita9604/Style-Transfer-onto-Real-Time-Images

    Image Style Transfer onto Real-time Smile Detected captured images

    Language:Jupyter Notebook3100
  • 0gaurav/pca_face_classification

    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 glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). The “target” for this database is an integer from 0 to 39 indicating the identity of the person pictured. Each of the sample images needs to be classified in the classes ranging from 0 to 39. PCA has been applied to reduce the dimensionality. Then various classification and regression techniques are used with and without using PCA and the accuracy and time taken by the algorithms are recorded. Algorithms used: SVM, KNN, logistic regression, neural networks, linear regression and random forests.

    Language:Jupyter Notebook1201
  • Arshita27/Face_Classification_1

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

    Language:Python1000
  • hgarud/Face_Classification

    A comparative study between 5 different binary classification techniques.

    Language:Python1200
  • Lucifergene/Face-Classifier-Transfer-Learning

    AI Driven Face Recognizer Model powered by Transfer Learning

    Language:Jupyter Notebook1200
  • sachink1729/Human-characters-detection-from-a-video-The-Office-S06E01-Computer-vision-and-Facenet

    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.

    Language:Jupyter Notebook1101
  • sangbijaksana/proyek-akhir-dsa

    Final Project of Data Science & Algorithm Course

    Language:Jupyter Notebook0011
  • sid0407/Face_Recognition

    Face detection and recognition into 6 classes of some famous personalities.

    Language:Jupyter Notebook0010
  • ssyjgs1/Northeast-Asian-Age-Gender-Classifier

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

    Language:Python0100
  • swagatika15/FACE-CLASSIFICATION

    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 glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). The “target” for this database is an integer from 0 to 39 indicating the identity of the person pictured. Each of the sample images needs to be classified in the classes ranging from 0 to 39. PCA has been applied to reduce the dimensionality. Then various classification and regression techniques are used with and without using PCA and the accuracy and time taken by the algorithms are recorded. Algorithms used: SVM, KNN, logistic regression, neural networks, linear regression and random forests.

    Language:Jupyter Notebook0100
  • Ankita18Mandal/Face_Recognition

    Face Detection and Recognition on some famous personalities

    Language:Jupyter Notebook12
  • Bidur-Khanal/RaFD-Face-Classifier

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

    Language:Python202