The task of UAV-based maritime rescue object detection faces two significant challenges: accuracy and real-time performance. The YOLO series models, known for their streamlined and fast performance, offer promising solutions for this task. However, exist
However, existing target detection technologies still have shortcomings in terms of accuracy, real-time performance, and adaptability. To address this challenge, this study proposes an innovative target detection model. Our model adopts the structure of YOLOv8-DSAF, comprising three key modules: ...
Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new ...
(1)基于yolo网络框架,通过在大规模数据集上进行视觉语言建模和预训练来增强YOLO的开放词汇检测能力。 (2)提出了一种新的可重新参数化的视觉-语言路径聚合网络( RepVL-PAN )和区域-文本对比损失,以促进视觉和语言信息之间的交互。 性能能指标 2.介绍 现有方法主要存在两方面的问题: ( 1 )计算量大;( 2 )边缘...
A complete and local NVR designed forHome Assistantwith AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of aGoogle Coral Acceleratoris optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100...
SuperYOLO8: Enhancing Performance of Object Detection in Real-Time Multi-Modal Remote Sensing Imagery through SuperYOLO and YOLOv8 * 来自 IEEEXplore 喜欢 0 阅读量: 117 作者:KP Phung,NL Le,QU Nguyen 摘要: Object detection in remote sensing images (RSI) poses a significant challenge, ...
YOLOv8-seg to separate individual objects.Mini Project 1: Explore YOLOv8-pose for keypoint detection.Mini Project 2 & 3: Make real-time predictions on videos and track objects using YOLO.Project 9: Build a system for object tracking and counting.Mini Project 4: Utilize the YOLO-WORLD Detect...
Real-Time Flying Object Detection with YOLOv8. arXiv 2023, arXiv:2305.09972. [Google Scholar] [CrossRef] Shinners, S.M. Modern Control System Theory and Design, 2nd ed.; John Wiley & Sons: Hoboken, NJ, USA, 1998. [Google Scholar] Disclaimer/Publisher’s Note: The statements, opinions ...
In this paper, we present the CMCA-YOLO model, a real-time object detection framework designed to address the unique challenges of parking lot surveillance, such as detecting small and overlapping targets through the novel integration of cross-attention and multi-spectral channel attention mechanisms....
Ultralytics YOLO Docs RT-DETR (Realtime Detection Transformer) ultralytics/ultralytics v8.3.51 34.2k 6.6k Overview Real-Time Detection Transformer (RT-DETR), developed by Baidu, is a cutting-edge end-to-end object detector that provides real-time performance while maintaining highaccuracy. It...