Face Recognition system trained for 81 people. Accuracy is around 70% achieved.
-
Updated
Jun 6, 2024 - Python
Face Recognition system trained for 81 people. Accuracy is around 70% achieved.
Real-Time Face Identification using Convolutional Neural Networks
Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks
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.
A simple face recognition model using pretrained 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.
WYNA is a tiny bot asking your name and remembers your face and your name on next encounter
Real time face recognition Using Facenet , pytorch, Tensorflow
A simple implementation of facial recognition using facenets for humans 🧔 🔍
A face recognition API
Face Recognition and Classification Using FaceNet and MTCNN
Face Detection using Open CV library on House Full 4 movie trailer.
Face detection, and recognition using MTCNN,FACENET, HAAR CASCADES and CAFFE MODELS
Face recognition using Deep learning methods
Create your own databse, compile tripletloss with pre-trained FaceNet model, run real-time face recognition on local host
This repository contains program for face recognition using transfer learning.
using mxnet gluon api build mobilefacenet model to training face data
This is a simple example for face verification using facenet implemented by davidsandberg
Face recognition using Facenet Model
Add a description, image, and links to the facenet-model topic page so that developers can more easily learn about it.
To associate your repository with the facenet-model topic, visit your repo's landing page and select "manage topics."