Abstract: Object detection has become increasingly important in the field of autonomous driving, but the effectiveness of small object detection has always faced challenges such as insufficient ...

Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

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 ...

The YOLO Class Labeling Tool is a comprehensive solution for creating, editing, and managing object detection datasets in YOLO format. It features an intuitive GUI, automatic detection using YOLO/ONNX ...

Yolo County faces $1.7M in costs after deadly Esparto fireworks explosion Yolo County is facing nearly $1.7 million in expenses after a deadly fireworks explosion in Esparto killed seven people and ...

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 ...

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...