Python Computer Vision & Video Analytics Framework With Batteries Included

yolov8 face detection with landmark

使用OpenCV部署yolov8检测人脸和关键点以及人脸质量评价，包含C++和Python两个版本的程序，只依赖opencv库就可以运行，彻底摆脱对任何深度学习框架的依赖。

🦉Gracefully face reCAPTCHA challenge with ultralytics YOLOv8-seg, CLIPs VIT-B/16 and CLIP-Seg/RD64. Implemented in playwright or an easy-to-use API.

Pre-trained YOLOv8-Face models.

WIDER-FACE Face Detector Based On YOLOV8

Code to Blur Human Faces and Vehicle License Plates in Video and Images using a SoTA Object Detection model YOLOv8

YOLOv8 for Face Detection

Anime Face Detection using YOLOv8

YOLO5Face 2021 with MNN/NCNN/TNN/ONNXRuntime

👁 Using YOLOv8 to detect face parts

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face-detection-yolov8

This repository contains a comprehensive face recognition system that combines YOLOv8 for face detection and FaceNet for face recognition.

[ultralytics v8.3.75][yolov8/yolo11-pose][WIDER FACE]Upgrade YOLO5Face to YOLO8Face and YOLO11Face

Utilizing YOLOv8, my GitHub project implements personalized data for training a custom facial recognition system, improving accuracy in identifying diverse facial features across real-world applications.

Multi Camera Face Detection and Recognition with Tracking

An AI-powered, real-time surveillance system that fuses YOLOv8 person detection, MediaPipe skeleton tracking, face recognition, and Telegram remote control to deliver intelligent zone-based intrusion detection, automated alerts, and visual monitoring from any camera.

This project implements real-time emotion recognition using a custom-trained YOLOv8 model for face detection and a Haarcascade classifier. The emotion detection is powered by a CNN trained on the FER-2013 dataset, classifying seven emotions: angry, disgust, fear, happy, neutral, sad, and surprise.

Base on yolov8 and wider face dataset, training a model that can be used

Attendance Monitoring System that has a tracker, face detection, face recognition and database connectivity all integrated together. The tracker is based on Strongsort, yolov8 is used for face detection, InceptionResnet is used for face recognition and MySQL for database connectivity.

YOLOx8 model segmentation for face features

This project implements a Wrinkle Detection application using YOLOv8 for segmentations. The application is built with Streamlit and allows users to upload images for wrinkle detection of human faces. Segmentation using YOLOv8s (small) finetuned model.

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A lightweight AI computer vision app built with Streamlit that combines multiple real-world vision tasks: YOLOv8 object detection, license plate OCR, emotion detection, and face blurring — all wrapped in a user-friendly web interface.

Emotion detection is topic of research now-a-days. This project builds a model that can detect emotions from face images using CNN., YoloV8 Architecture and then AutoML. The model is trained, validated, and tested on a preprocessed and augmented dataset. The best-performing model is used for emotion detection on unseen face images.

Computer vision model to detect face mask using webcam as a source. Created with the help of Ultralytics YOLO v8

Yolo-v8 Based Face Landmark Detection!

A lightweight Chrome extension that captures your TradingView chart, sends it to a YOLOv8 model hosted on Hugging Face (FastAPI backend), and returns an annotated chart with detected patterns like Rising/Falling Channels, Head & Shoulders, Inverse Head & Shoulders, Double Top, and Double Bottom. Features: One-click capture of visible TradingView

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