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

Deep Face Recognition in PyTorch

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder

In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Computer vision web application, built to predict the age, race, and gender of all individuals present in an image. Trained using PyTorch on the VGGFace2 and UTKFace datasets

Artificial Intelligence

This project presents a full process of creating face-detection & face-recognition web-application service using deep_utils library

An implementation to clean large scale public face dataset

Developed a deep novel coupled profile to frontal face recognition network incorporating pose as an auxiliary information via attention mechanism (i.e., implemented a pose attention module).

Machine learning pipeline for hiding small children faces in pictures to conceal their identity and protect their privacy.

Smart Glasses for Visually ImpairedA project aimed for people with weak eyesight to help them recognize persons and detect objects around them using machine learning and deep learning algorithms.

Face Identification with MTCNN and VGGFace2

Generally by looking at the face features of two different persons, we can say that these two persons are related or not. This deep learning model does the same. For Ex: Father-Son

Classifying Deepfake imges using Residual learning Architecture

This is FUTURE 2.0! Now even a single picture of your face can predict your BMI without knowing your height & weight. Not even a single face, multiple faces can be deteced in a single pisture to predict the AGE, SEX & BMI of all the visible faces on that picture. Isn't that futuristic?

This project showcases an advanced face verification system built using the FaceNet deep learning architecture. The model is trained to accurately identify and verify individuals based on their facial features.

Image Classification Training Framework for Network Distillation

Repository storing network checkpoints/weights for Face Recognition.