Drone-Yolo在无人机数据集上取得了巨大的成功,mAP0.5指标上取得了显著改进,在VisDrone2019-test上增加了13.4%,在VisDrone2019-val上增加了17.40%。这篇文章我首先复现Drone-Yolo,然后,在Drone-Yolo的基础上加入我自己对小目标检测的改进。 完整链接: YoloV8改进策略:独家原创,全网首发,复现Drone-Yolo,以及改进方法-C...
object detectionYOLOv8deep learningWith the widespread use of UAVs in commercial and industrial applications, UAV detection is receiving increasing attention in areas such as public safety. As a result, object detection techniques for UAVs are also developing rapidly. Howev...
"This project allows you to use YOLOv8 with a DJI Tello Drone for real-time object detection streaming on your computer! You can control the drone with the Tello app and also save the detection results as a video." Notes The TelloCV_GitHubScript.py script features comments/annotations to ...
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8 7 Aug 2024 · Fan Zhao, Yijia Chen, Dianhan Xi, Yongying Liu, Jiaqi Wang, Shigeru Tabeta, Katsunori Mizuno · Edit social preview ...
Due to the extremely small scales of objects in drone images, object detection on drone view is still a challenging task. To improve the accuracy of small object detection, we propose a novel object detection network multistrategy feature enhancement YOLO (MSFE-YOLO)-based YOLOv8. First, a sy...
Drone-Yolo在无人机数据集上取得了巨大的成功,mAP0.5指标上取得了显著改进,在VisDrone2019-test上增加了13.4%,在VisDrone2019-val上增加了17.40%。这篇文章我首先复现Drone-Yolo,然后,在Drone-Yolo的基础上加入我自己对小目标检测的改进。 YoloV8官方结果
DBYOLOv8: Dual-Branch YOLOv8 Network for Small Object Detection on Drone Imagedoi:10.14569/ijacsa.2025.01601124Yawei TanBingxin XuJiangsheng SunCheng XuWeiguo PanSongyin DaiHongzhe LiuInternational Journal of Advanced Computer Science & Applications...
this study aimed to reduce the dangerous effects of drone use through early detection of drones. The purpose of this study is the evaluation of deep learning approaches such as pre-trained YOLOv8 drone detection for security issues. This study focuses on the YOLOv8 model to achieve optimal perf...
The proposed DDT-CNN model represents a deep learning architecture-based comprehensive system for drone detection and classification. YOLOv8 a cutting-edge object detection model, is used in the detection phase to precisely find drones in aerial footage. Following detection, three different convolutional...
With the advancement of drone technology and deep learning, using drones combined with artificial intelligence for fire monitoring has become mainstream. This paper proposes an improved YOLOv8-based model that incorporates local convolution instead of full convolution in the C2F module and integrates ...