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 ...

Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced ...

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 ...

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

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 ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Real-time object detection and classification. Paper: version 1, version 2. All input images from default folder sample_img/ are flowed through the net and predictions are put in sample_img/out/. We ...

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 ...

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.