Facial recognition using pretrained VGGFace model to compare faces from images and recognise/match them.
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Updated
Nov 8, 2020 - Jupyter Notebook
Facial recognition using pretrained VGGFace model to compare faces from images and recognise/match them.
Facial Recognition with VGG Face in Tensorflow 2.0
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.
This is my capstone project that was completed as part of the General Assembly Data Science Immersive curriculum. I conceptualized the idea, executed the project and developed a prototype for predicting success in the South Korean drama industry based on face image. This serves as a proof-of-concept which can definitely be developed further.
using Facial and GeoLocation verification
Using MTCNN and VggFace, created a webApp which tells your look alike Bollywood celebrity
Face Recognition.
DeepFace Library lets you recognize and analyze faces quickly with models like VGGFace and Facenet.
This project is aimed at developing a deep learning system that can detect and recognize people who look identical to Bollywood actors. It will use facial features as the basis of comparison for detecting similar features between two people. This system could be used in various applications such as security systems, entertainment platforms, etc.
Using CNNs to perform facial expression recognition and analysing TED talks to gain insights.
Facial recognition in Python using Tensorflow
RealTime Emotion Recognizer for Machine Learning Study Jam's demo
Train/validate VGGface2 dataset based on L2-constrained softmax loss.
A facial expression recognition project with VGGFace Transfer Learning Model on the Nigerian Static Facial Expression (NISFE) dataset
The project consists in the development of an application for the recognition of one-dimensional signals (audio), two-dimensional signals (images) and retrieval of the 10 images most similar to a given query.
A containerized facial recognition module based on VGG ResNet-50 architecture
Exploring the relationship between facial features and first name using Stanford's Names100 Dataset
Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier
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