Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)
Facial Emotion Recognition using OpenCV and Deepface
Android application that uses Virtual Reality effect: put makeup on the face from camera in real time.
Android library for augmented reality effects using machine learning and computer vision on face from camera in real time.
Python Real Time Face Detection application, using opencv, deepface
Real Time Face Recognition with Python and OpenCV2, Create Your Own Dataset and Recognize that. #FreeBirdsCrew
Android application that used Virtual Reality effect: put mask on the face online.
Face detection using the deep neural networks (dnn) module algorithm in OpenCV.
In this project, I developed a real-time face detection and emotion detection model by training the dataset I selected.
A simple web app to detect the facial expressions, face landmark tracking using face-api.js
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.
A simple Flutter app that uses ML Kit to detect faces in real-time using the device camera.
Detect faces, bounding boxes, and five facial landmarks (eyes, nose, mouth corners) in any image via a simple REST API. Upload a JPEG or PNG, get structured JSON back. 5,000 free requests/month.
Using dlib, OpenCV, and Python, to detect in real time how to open/closed eyes,mouth, position of the head, and the emotion
🎭 Detect emotions in real-time from your webcam using DeepFace and OpenCV for instant feedback on feelings like Happy, Sad, and Angry.
This repository contain both face recognition from images and also from video or webcam
📌 Smart Attendance System using Face Recognition Developed an AI-powered Smart Attendance System that uses Face Recognition and Computer Vision to automatically detect and mark attendance in real time. The system eliminates manual attendance processes and improves accuracy.
The Face Recognition Project uses advanced computer vision and machine learning techniques. Applications include automated attendance, security monitoring, and personalized experiences. to detect, recognize, and analyze faces in real time.
Facer is a face recognition system built on face_recognition package and opencv
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