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...
DRONE aircraftPUBLIC spacesPUBLIC safetyHighlights: What are the main findings? An improvement upon the state-of-the-art YOLOv8 model, proposing a high-performance and highly generalizable model for detecting tiny UAV targets. What is the implication of the main finding...
"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 ...
One of the important tools used by Natural Disaster Mitigation and Management (NDMM) in recent times is drone surveillance, particularly effective in disas
An improvement upon the state-of-the-art YOLOv8 model, proposing a high-performance and highly generalizable model for detecting tiny UAV targets. What is the implication of the main finding? Addressing the small size characteristics of UAV targets, a high-resolution detection branch is added to...
Current detection methods, such as radar, radio frequency, and acoustic detection systems, face issues like high costs and poor interference resistance. The rapid development of computer vision has led to the emergence of visual-based drone detection solutions. To address the challenge of varying ...
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
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 ...
An improvement upon the state-of-the-art YOLOv8 model, proposing a high-performance and highly generalizable model for detecting tiny UAV targets. What is the implication of the main finding? Addressing the small size characteristics of UAV targets, a high-resolution detection branch is added to...