Introduction: Underwater organism detection is critical for intelligent aquaculture and marine ecological monitoring, but real-time deployment on resource-constrained platforms remains challenging due ...

What if you could code faster than ever before, with fewer errors, and without the constant grind of repetitive tasks? Enter YOLO Mode, the latest innovation in AI-powered development tools that’s ...

Abstract: Object detection plays a pivotal role in intelligent transportation systems. In recent years, the rapid advancements in deep learning have propelled object detection to a new level. However, ...

Target detection in side-scan sonar images under complex environments is challenging due to noisy backgrounds, occlusion, and blurred target boundaries, which reduce the accuracy and robustness of ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...

Abstract: Aerial image object detection in open-water regions encounter numerous difficulties. Objects typically appear tiny, leading to sub-optimal detection precision. Additionally, existing ...

YOLOv7 is a state-of-the-art object detection model known for its speed and accuracy. This repository focuses on utilizing the YOLOv7 model in an efficient and scalable manner by implementing it with ...