Aiming at the problem of fuzzy features of small targets in aerial image detection, an
improved YOLO_v5x target detection method was proposed. A space-to-depth (SPD) …

Aiming at the problems such as high missed detection rate and inaccurate positioning
caused by complex background, large number and dense distribution of small targets in …

In view of the small target scale, low efficiency of target detection, inconsistent target scale,
low detection accuracy, and serious problems of missing detection and misdetection in UAV …

A UAV small target detection algorithm based on improved YOLOv5s is proposed to address
the problems of missed detection and low accuracy in UAV aerial photography. Firstly, to …

Aiming at the problems of high model complexity and poor detection effect of UAV object
detection algorithm, a small-object-detection model based on improved YOLOv8 is …

In aerial image detection task, object and the overall image size are small, scales have
different characteristics and detail information is not clear, it can cause leak and mistakenly …

High-altitude UAV photography presents several challenges, including blurry images, low
image resolution, and small targets, which can cause low detection performance of existing …

An improved small object detection method based on YOLOv5 algorithm is presented to
solve the problems of dense and uneven small target samples, less extractable feature …

The small and dense objects in unmanned aerial vehicle (UAV) images deteriorate the
detection accuracy of neural networks. This article proposed an improved YOLOv5-based …

At present, UAV aerial photography has a good prospect in agricultural production, disaster
response, and other aspects. The application of UAVs can greatly improve work efficiency …