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

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

Real time face recognition Using Facenet , pytorch, Tensorflow

A simple face recognition model using pretrained FaceNet model.

Face recognition using Deep learning methods

Face Recognition and Classification Using FaceNet and MTCNN

This is a simple example for face verification using facenet implemented by davidsandberg

A face recognition API

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.

using mxnet gluon api build mobilefacenet model to training face data

Building and deploying a Tensorflow (Keras) model for face recognition with Azure ML

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

This repository contains program for face recognition using transfer learning.

Create your own databse, compile tripletloss with pre-trained FaceNet model, run real-time face recognition on local host

SSS-Vision is a web-based Flask powered Python ML to help new WAVs identify tripleS members and sub-units!

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 Model

Face Detection using Open CV library on House Full 4 movie trailer.

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