This repository contains program for face recognition using transfer learning.
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Updated
Oct 14, 2019 - Python
This repository contains program for face recognition using transfer learning.
Face Recognition system trained for 81 people. Accuracy is around 70% achieved.
Deep_learning specialization course by andrew NG from Coursera
Design of a Face recognition payment system prototype
Create your own databse, compile tripletloss with pre-trained FaceNet model, run real-time face recognition on local host
Face recognition using Facenet Model
Face recognition system using FaceNet and OpenCV.
Face Detection using Open CV library on House Full 4 movie trailer.
Flask based web application to manage attendance using face 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.
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.
Education/Institutional level Project about getting attendance done by face recognition (FaceNet Model) and added functionalities like Getting pdf or excel sheet of Attendance
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 detection, and recognition using MTCNN,FACENET, HAAR CASCADES and CAFFE MODELS
WYNA is a tiny bot asking your name and remembers your face and your name on next encounter
Build a face recognition model using faceNet algorithm
This project uses State of the Art Facial Recognition model FaceNet to recognise Avengers from the Avenger Dataset.
Face recognition using Facenet, SVM, MTCNN and PyTorch. Face detection, feature extraction and training for custom datasets.
Real-Time Face Identification using Convolutional Neural Networks
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