We applied the YOLOv5 model standalone application in this paper for real-time object detection. Using this architecture, the process data configures the file and detects the objects. We have taken ...

This project implements real-time object detection and semantic segmentation on video streams using YOLOv5 and U-Net models. The goal is to accurately detect and segment objects in automotive video ...

Traditional methods of disease detection, such as visual inspection, are time-consuming, labor-intensive, and often inefficient. This paper presents an advanced approach using the YOLOv5 (You Only ...