Identify faces from video and images using OpenCV and Deep Learning
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Updated
Feb 18, 2024 - Python
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
DeepShield is a real-time deepfake face detection system built using EfficientNet-B0 and transfer learning, achieving 92% F1-score on 140K face dataset.
Image Processing using Python
Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)
Face Classification by SVM on Eigenfaces
CNN model to detect AI-generated vs real images
Face detection based on Haar cascade classifier + face classification using a convolutional neural network
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