These advancements provide an effective solution for small object detection from UAVs, advancing the field of one-stage object detection technology. (source code: https://github.com/GuccIceCream/yolov8/tree/master)doi:10.1016/j.dsp.2024.104964Weixin Luo...
The CPDD-YOLOv8 is proposed to improve the performance of small object detection. Firstly, we propose the C2fGAM structure, which integrates the Global Attention Mechanism (GAM) into the C2f structure of the backbone so that the model can better understand the overall semantics of the images....
Unmanned aerial vehicle (UAV) image object detection has extensive applications across both civilian and military domains. However, the traditional YOLOv8
In: Proc IEEE/CVF Conf Comp Vis Patt Recognit (pp 7464–7475) Wang G, Chen YF, An P et al (2023b) UAV-YOLOv8: a small-object-detection model based on improved YOLOv8 for UAVaerial photography scenarios. Sensors 23(16):7190 Wang A, Chen H, Liu L et al (2024) Yolov10: real-...
@文心快码yolov8 small object detection 文心快码 基于你的问题,我将从YOLOv8模型的特点、性能、小目标检测表现、提升精度的技术方法、实现或优化模型以及测试评估等方面进行详细回答。 1. YOLOv8模型的特点和性能 YOLOv8是YOLO(You Only Look Once)系列的一个新版本,它在目标检测任务上展现出了强大的性能。YOLOv...
However, object detection from UAV images has numerous challenges, including significant variations in the object size, changing spatial configurations, and cluttered backgrounds with multiple interfering elements. To address these challenges, we propose SOD-YOLO, an innovative model based on the YOLOv8 ...
However, UAV aerial images present challenges, including large-scale changes, small target sizes, complex scenes, and variable external factors, resulting in missed or false detections. This study proposes an algorithm for small target detection in UAV images based on an enhanced YOLOv8 model termed...
Currently, lightweight small object detection algorithms for unmanned aerial vehicles (UAVs) often employ group convolutions, resulting in high Memory Access Cost (MAC) and rendering them unsuitable for edge devices that rely on parallel computing. To address this issue, we propose the SOD-YOLO mod...
Zhai X, Huang Z, Li T, Liu H, Wang S (2023) YOLO-Drone: an optimized YOLOv8 network for tiny UAV object detection. Electronics 12(17):3664. https://doi.org/10.3390/electronics12173664 Article Google Scholar Siliang M, Yong X (2023) MPDIoU: a loss for efficient and accurate boundi...
Small object detection based on YOLOv8 in UAV perspective Article 18 August 2024 An efficient feature aggregation network for small object detection in UAV aerial images Article 26 February 2025 Introduction With the development of Unmanned Aerial Vehicle (UAV) related technology and the popularizat...