Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments.

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

This work explores the integration of event-based cameras with advanced object detection frameworks, introducing Recurrent YOLOv8 (ReYOLOV8), a refined object detection framework that enhances a ...

This project is a real-time object detection system that leverages the YOLOv5 model for detecting objects in a video stream from a webcam or other video input. The system is built using a Flask web ...

This project builds a real-time object detection system using a Raspberry Pi and a camera. It captures live video, processes it with a TensorFlow Lite model to detect specific objects, and saves ...

Discover the transformative advancements of YOLOv9, the latest iteration of the pioneering YOLO series, enhancing efficiency and accuracy in real-time object detection through groundbreaking ...