Human ingenuity is a remarkable thing, but occasionally, it takes a wrong turn into a cul-de-sac of absolute absurdity. We often see people facing a simple, everyday problem and deciding that the most ...

Abstract: As formulated in the research question, this work focuses on real-time object detection to employ the Yuonet Object eight-e model based on Deep Learning known YOLOv5 due to its high ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

🔥YOLOv5作为单阶段目标检测算法的代表，以其高效性和准确性受到广泛关注。原始YOLOv5模型采用Backbone-Neck-Head的经典架构 ...

A clean, modular, real-time object detection pipeline built on YOLOv5 + PyTorch + OpenCV. It shows FPS, counts detected objects per frame, renders boxes, and (optionally) saves the video. torch==2.7.1 ...

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 ...