A recent study from researchers at Queen Mary University of London and University College London has drawn attention after ...

Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture. The objective is to automate the process of identifying whether ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Security agencies have been using facial and object recognition tools to enhance safety monitoring, particularly in metros.

This project is a Final project at B.S.c. Object detection system for visually impaired people using object detection and tracking, distance measuring and alerts in 3D surround sound. People Detector ...

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 ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...