There are 0 repository under face-classifier topic.
Face model to classify gender and race. Trained on LFWA+ Dataset.
Photo classifier per person
It is a Easy, powerful and Simple face verification system.
This project contains an implemented version of Face Detection using OpenCV and Mediapipe. This is a code snippet and can be used in projects.
Image Style Transfer onto Real-time Smile Detected captured images
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.
Solve classification of an image into face and non-face using 5 different techniques
A comparative study between 5 different binary classification techniques.
AI Driven Face Recognizer Model powered by Transfer Learning
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.
Final Project of Data Science & Algorithm Course
Face detection and recognition into 6 classes of some famous personalities.
Classifying by age and gender using a dataset of Northeast Asian face photos
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.
Face Detection and Recognition on some famous personalities
This repository contains a resnet-18 based face classifier. It can be used to train/test RAFD dataset.