face-classification

Identify faces from video and images using OpenCV and Deep Learning

Computer Vision project that detects emotion, age and gender after detecting faces.

INA's library with pretrained models for gender and age prediction from faces.

3D Face Classification with Graph Neural Networks

PcaNet, PCA Network, Deep Learning, Face Classification, LFW dataset, SVM

Face classification and verification using convolution neural networks.

An end-2-end project

[ SKT AI Fellowship ] 이미지 내의 개인정보 탐지 기술 개발

Fake face detector developed for the AA2 course. This multimodel project allows users to distinguish between fake 🐛 and real pictures of faces. Based on CNN and transfer learning ⏩ properties.

Building face object recognition and classification model based on Facenet model

Age, Gender and Race Face Classification with conventional models, CNNs and Transfer Learning.

This is a gender classification system based on five triditional algorithms.

Image Classification and Verification

AI thesis regarding syndrome vs. control classification of faces of people with Intellectual Disability.

DeepShield is a real-time deepfake face detection system built using EfficientNet-B0 and transfer learning, achieving 92% F1-score on 140K face dataset.

End-to-end face classification pipeline using data augmentation and deep learning models such as FaceNet and VGG.

Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)

Image Processing using Python

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

Face detection based on Haar cascade classifier + face classification using a convolutional neural network