VGGFace implementation with Keras Framework

PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'

Age and Gender Estimation Using Convolutional Neural Network

This is a very Simple example of showing how to build image dataset from your own collection of images, how to train multiple class classifier using tensorflow CNN and how to predict the class of an object in an unseen image. This code is designed so that a newbie user become able to train a tensorflow CNN model using his limited CPU resources. …

Face Detection, verification and recognition in Near real time on CPU brewing with all the SOTA all over

A flask app to give a demo of Facial Recognition - Deployed with Live Demo.

EVERYTHING YOU NEED FOR DATA SCIENCE.

8 emotions detected in real-time with ~77% accuracy. Used: OpenCV, Python 3, Keras, Data Preprocessing, Deep Learning & Machine learning Techniques.

Utilizing the DeepFace Library, informed by a dataset of 4M images across 4K identities curated by Facebook researchers, My 'Two Faces✌🏻' project gauges facial similarity with precision.

Continuous Face Authentication on Android

Train/validate VGGface2 dataset based on L2-constrained softmax loss.

Used VGGFace and Resnet50 model we extract features from the photos of the celebrities. It predicts the similar matching Bollywood celeb based on cosine similarity of the pictures.

Dive into the world of computer vision! Our Image Classification from Video project uses advanced techniques to identify faces in images and videos. Explore video processing, face extraction, and deep learning magic. Join the adventure now! 👩‍💻📸"

Model to recognize celebrities using a face matching algorithm.

Using MTCNN and VggFace, created a webApp which tells your look alike Bollywood celebrity

VisageX是一款强大而优雅的人脸识别系统，采用最先进的深度学习技术，为用户提供高精度的人脸检测和识别服务。通过直观的图形界面，让复杂的人脸识别技术变得简单易用。

This project is a Celebrity Face Match Website that identifies which Bollywood celebrity you resemble by analyzing your uploaded photo. Using the VGGFace model for facial feature extraction, MTCNN for face detection, and cosine similarity for matching, the app compares your image with a database of celebrity faces to provide the best match.

using Facial and GeoLocation verification

This work builds upon the approach proposed by Kocabey et al., which utilizes computer vision techniques to predict BMI directly from facial images. We improve upon their methodology by leveraging more recent advancements in deep learning architectures and transfer learning.

ML model for grouping similar faces using cutting-edge deep learning and computer vision techniques. Custom dataset of 300 images captures comprehensive facial variations. Siamese network outperforms Face-Net, delivering reliable clustering results.