Firstly, an extra small target detection layer was added to YOLOv8, which significantly improves the small target detection accuracy. In addition, in order to enhance the detection speed of the model, the RepVGG/RepConv ShuffleNet (RCS) and a OneShot Aggregation o...
In the first stage, YOLOv5 emerges as the algorithm of utmost innovation and representation, successfully attaining a commendable equilibrium between accuracy and speed. The improvements in YOLOv6, YOLOv7 [27], and YOLOv8 are all based on YOLOv5. Therefore, by harnessing the robust OD ...
In further research based on the YOLOv8 model, we introduce the C2f-DM module to replace the C2f module before the detection head, significantly enhancing the capability to capture features of small objects and effectively mitigating issues of detection accuracy caused by object overlaps. 2.2. ...
This paper proposes a novel detection model based on YOLOv8 for the road traffic detection of UAVs. The model is named HeMoDU and significantly improves the object detection performance of YOLOv8. The visual state space concept from the VMamba model is introduced to HeMoDU using a 2D selectiv...
exhibiting advantages in detection accuracy and speed. Because the foreign-object-detection model for high-voltage transmission lines will be integrated into the hardware of the drone platform in the later stage, we are considering using the YoloV8m lightweight model and modifying it to make it mo...
The semantic segmentation method based on high-resolution RGB images obtained by unmanned aerial vehicle (UAV) provides a cost-effective way to improve the accuracy of detection and classification in forestry. Few studies have explored the impact of sample distribution patterns on deep learning model ...
Specifically, the CNN-based classification model utilized in this study has a different objective than an object detection model such as Yolo, as it is designed to map tree species classification. In addition, as classification of tree species requires a single correct answer value from a single ...
the purpose of this work is to review the different methods adopted to identify the contamination level on high-voltage insulators. Several methods have been developed to observe and measure the contamination level on HV insulators, such as leakage current, partial disgorgement, and images with the...
In order to accelerate the running speed, YOLO directly maps the input image into the output bounding box. Accordingly, the object detection is fulfilled with a single pass of the deep neural network. On the other hand, the two-stage object detection method pays attention to improving the ...