Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

[ECCV 2024] PyTorch implementation of Rethinking Features-Fused-Pyramid-Neck for Object Detection

This repository contains the training code for my PyTorch YOLOX object detection tutorial.

This machine learning project aimed at assessing public service officers' friendliness in real-time. Using models like MobileNet and SVM, it detects emotions such as happiness or anger from facial expressions. With datasets like KDEF and RAF-DB, this tool offers an efficient way to evaluate service quality through facial recognition.

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

A real-time face detection project using face-api.js that predicts age, gender, and facial expressions through your webcam.

Object-Detector-DLM-WEB is a web-based application that utilizes deep learning models for real-time object detection and tracking using your camera feed. The application is built using HTML, CSS, and JavaScript, and leverages TensorFlow.js with the COCO-SSD model to detect and label objects in the video stream.

Parking Pixel is a real-time parking detection system that uses computer vision to identify available spaces from video feeds. It allows users to define parking regions and continuously monitors availability. Built with Python and machine learning models, Parking Pixel provides accurate, efficient parking management.

A highly accurate fire detection system deployed in the Tersan shipyard. Utilizing advanced image processing techniques, this system captures real-time footage from cameras and achieves a 97% accuracy rate in detecting fires.

This project aims to develop a real-time face mask detection and classification system using computer vision techniques.

Real-Time Vehicle Speed Detection and Counting System

A Python-based project leveraging OpenCV for enhanced real-time face and eye detection. This repository features a custom-trained Haar Cascade model, offering improved accuracy for detecting faces and eyes in images, videos, and live webcam feeds. Developed during an internship at Innovate, this project welcomes contributions to further improvement

Face-api.min.js is a Core library for face detection. Webpage interface for webcam access. JavaScript file handling face detection, model loading, and displaying results on a canvas.

这个仓库主要通过使用图像API将AirSim与YOLOv5连接，实现实时检测。 This repository primarily implements real-time detection by connecting AirSim with YOLOv5 using the image API.

This project demonstrates real-time object detection using YOLOv8 and opencv with a webcam or Intel RealSense camera.

Real-Time Face Detection: A fine-tuned YOLO model and Streamlit UI, offering an exciting journey into AI.

In this repository you will find an efficient 'Real Time Driver Drowsiness Detection for an Intelligent Transportation System', that will work on various constraints like while wearing Eye Glasses, Mask etc.

Real Time Drone Detection with YOLOv3, YOLOv3-tiny, YOLOv4, YOLOv4-tiny, YOLOv5x, YOLOv5s, YOLOv6-L, YOLOv6-S, YOLOv7-X, YOLOv7, YOLOv8l and YOLOv8s

A real-time project that detects and classifies urine cells from microscopic images. This project provides information on urinary health and diseases and assists doctors.