CPLID Dataset - ZIP
收藏DataCite Commons2025-06-01 更新2024-08-19 收录
下载链接:
https://figshare.com/articles/dataset/CPLID_Dataset/26409637/2
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资源简介:
To obtain the complete dataset, please download the ZIP file.This dataset is divided into two part:<code>Normal_Insulators</code> contains the normal insulators capture by UAVs. The number of the normal insulator images is <b>600</b>.<code>Defective_Insulators</code> contains the insulators with defect. The number of the defective insulator images is <b>248</b>. Since we don't have too much defective insulators, the data augmentation method is applied. These images are synthesized by following process:Use the algorithm in TVSeg to segment the defective insulator from a small part original images, the segment results are the mask images;Use affine transform to augment the original images and their mask, the augmentation results is a lot of original-mask image pairs;Use these image pairs to train the U-Net;Use the trained U-Net to segment the rest part of images;Attach the insulators in different backgrounds.<br><br>Both these two directories contain two subdirectories, one called <code>images</code> contains the image files, the other called <code>labels</code> contains the VOC2007 format annotations.The <code>labels</code> of <code>Normal_Insulators</code> contains <b>only</b> the annotations of insulators;The <code>labels</code> of <code>Defective_Insulators</code> contains not only the annotations of insulators but also the annotations of defects which on the insulators.The images is provided by the State Grid Corporation of China, and the dataset is made by WANG Zi-Hao. If you have any question about this dataset, feel free to contact zhwang0721@gmail.com.
如需获取完整数据集,请下载对应ZIP压缩包。本数据集分为两个部分:<code>Normal_Insulators</code> 文件夹内为无人机(UAV)拍摄的正常绝缘子图像,共计600张;<code>Defective_Insulators</code> 文件夹内为存在缺陷的绝缘子图像,共计248张。由于原始缺陷绝缘子样本量较少,本数据集采用了数据增强方法。相关图像通过以下流程合成:首先利用TVSeg算法从少量原始图像中分割出缺陷绝缘子,分割结果即为掩码图像;通过仿射变换对原始图像及其掩码进行增强,生成大量原始图像-掩码图像对;利用这些图像对训练U-Net模型;使用训练完成的U-Net模型对剩余图像进行分割;将分割得到的绝缘子挂载至不同背景图像中。
上述两个文件夹均包含两个子目录:名为<code>images</code>的子目录存储图像文件,名为<code>labels</code>的子目录存储VOC2007格式的标注文件。<code>Normal_Insulators</code> 文件夹的<code>labels</code>子目录仅包含绝缘子的标注信息;<code>Defective_Insulators</code> 文件夹的<code>labels</code>子目录则同时包含绝缘子及其表面缺陷的标注信息。本数据集的图像由国家电网有限公司(State Grid Corporation of China)提供,数据集由王子豪(WANG Zi-Hao)制作。若您对本数据集有任何疑问,可随时联系邮箱zhwang0721@gmail.com。
提供机构:
figshare
创建时间:
2024-07-31
搜集汇总
数据集介绍

背景与挑战
背景概述
CPLID Dataset - ZIP是一个绝缘子图像数据集,包含600张正常绝缘子图像和248张缺陷绝缘子图像,后者通过数据增强方法合成。数据集提供了VOC2007格式的标注文件,标注了绝缘子和缺陷的位置,适用于电气能源传输和图像处理领域的研究。
以上内容由遇见数据集搜集并总结生成



