This implementation is designed as a demo to test COCO trained YOLOv11 detection models. This project implements YOLOv11 object detection in C++ using OpenCV with CUDA backend. It supports real time ...

Abstract: Object detection is a foundation process in computer vision having widespread applications in autonomous driving, medical diagnostics and security monitoring. Recent advancements and ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

Abstract: Object detection has been attracting much interest due to the wide spectrum of applications that use it. Object detection technology has been driven by an increasing processing power ...