Face Recognition system trained for 81 people. Accuracy is around 70% achieved.

A face recognition model build with an ensemble of popular pre-trained models like FaceNet and OpenFace, on training with a dataset of 31 celebrity images. Built an application which can recognise a new person based on stored embedding of him and relate his facial features to the 31 celebrities it was trained.

Real-Time Face Identification using Convolutional Neural Networks

Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks

Smart Student Attendance App with Facial Recognition

Face Recognition using the FaceNet model and MLKit on Android.

My graduation thesis project, awarded a 9.5/10, involved creating a student attendance management system for iOS devices that utilizes FaceNet facial recognition model for efficient and secure attendance tracking.

This repository hosts a cutting-edge facial recognition system designed to enhance customer identification and verification. Leveraging MTCNN for accurate face detection and DeepFace-FaceNet for facial embeddings, the system integrates with Pinecone's vector database to efficiently match and verify repeat customers.

Face recognition using Facenet, SVM, MTCNN and PyTorch. Face detection, feature extraction and training for custom datasets.

A simple face recognition model using pretrained FaceNet model.

Who is your doppelgänger and more with Keras face recognition

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

This face recognition system is implemented upon a pre-trained FaceNet model achieving a state-of-the-art accuracy. This system comes with both Live recognition & Image recognition.

About a mobile app created to recognize crime committing citizens from the database and predict using FaceNet prediction algorithm from phone. Admins can create new entries of criminals or notorious people on phone. This will create a safer environment for everyone going to office or airport etc.

WYNA is a tiny bot asking your name and remembers your face and your name on next encounter

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Real time face recognition Using Facenet , pytorch, Tensorflow

A simple implementation of facial recognition using facenets for humans 🧔 🔍

A face recognition API