To address this issue, this paper proposed a lightweight drone-based insulator defect detection method (LDIDD) that integrates data augmentation and attention mechanisms based on YOLOv8. Firstly, to address the limitations of the existing insulator dataset, data augmentation techniques are developed ...
Defect detection precision and recall of the proposed method are 0.91 and 0.96 using a standard insulator dataset, and insulator defects under various conditions can be successfully detected. Experimental results demonstrate that this method meets the robustness and accuracy requirements for insulator ...
Foggy Insulator Network, Dataset and Code. Improved object detection network, synthetic fog, data augmentation, channel attention mechanism. Insulator & defect detection - zhangzhengde0225/FINet
This dataset is divided into two part: Normal_Insulators contains the normal insulators capture by UAVs. The number of the normal insulator images is 600. Defective_Insulators contains the insulators with defect. The number of the defective insulator images is 248. Since we don't have too much...
Part of the experimental data set comes from the public datasets https://github.com/InsulatorData/InsulatorDataSet, and the other part is collected on-site. Through data amplification, screening, and labeling, the datasets have a total of 1588 pictures. Among them, the ratio of the training se...
This dataset is divided into two part: Normal_Insulatorscontains the normal insulators capture by UAVs. The number of the normal insulator images is600. Defective_Insulatorscontains the insulators with defect. The number of the defective insulator images is248. Since we don't have too much defecti...
https://cv.po.opole.pl/dataset1 OPDL [100] 2560 Insulator type classification and defect detection. http://www.dee.eng.ufba.br/dslab/index.php/opdl_dataset CPLID [97] (Chinese Power Line Insulator Datasets), the datasets is an aerial image of high-voltage insulators provided by the State...
For studies involving existing datasets, please describe the dataset and source. Sampling strategy Describe the sampling procedure (e.g. random, snowball, stratified, convenience). Describe the statistical methods that were used to predetermine sample size OR if no sample-size calculation was performed...
Therefore, a novel insulator defect detection method based on improved YOLOv7 and a multi-UAV collaborative system is proposed innovatively. Firstly, a complete insulator defects dataset is constructed, and the introduction of insulator self-blasts, cracked insulators, and bird ...
Furthermore, we use the K-means++ algorithm to recluster the prior boxes and replace Efficient IoU Loss as the new loss function, which has better matching and convergence on the insulator defect dataset we constructed. The experimental results demonstrate the effectiveness ...