Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...

Abstract: Accurate and fast detection of traffic signs is critical for autonomous driving, particularly in complex environments with diverse sign scales and varying detection distances. Existing ...

The final, formatted version of the article will be published soon. With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving ...

A modern, comprehensive object detection system built with YOLOv8/YOLOv11, featuring a web interface, database integration, and advanced analytics. yolo-object-detection/ ├── app.py # Streamlit web ...

The broad range of Scolytinae pests sizes and their subtle visual similarities, especially in smaller species, continue to challenge the accuracy of mainstream object detection models. To address ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such ...

A long-standing camera issue in Windows 11 has finally been resolved, while also lifting 24H2 update rollout block on affected PCs. The issue, first reported in October 2024, caused certain apps to ...

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 ...

Description This project implements real-time object detection using the Ultralytics YOLO model. It includes a script for performing detection on live camera feeds or video files, saving the annotated ...

According to a statement emailed to The Debrief and a separate story on the organization’s website, when Dr. John Sandusky first joined Sandia almost 20 years ago, he was asked if the heliostats at ...