CPLID Dataset - ZIP

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 [e-mail].

如需获取完整数据集，请下载该ZIP压缩文件。本数据集分为两个部分：<code>Normal_Insulators</code>包含由无人机（UAV）采集的正常绝缘子图像，共计600张。<code>Defective_Insulators</code>包含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数量有限，我们采用了数据增强手段。该数据集的合成流程如下：首先利用TVSeg算法从少量原始图像中分割出缺陷绝缘子，得到掩码图像；随后对原始图像及其掩码进行仿射变换增强，生成大量原始图像-掩码图像对；使用上述图像对训练U-Net模型；利用训练完成的U-Net对剩余图像进行分割；将分割得到的绝缘子粘贴至不同背景图像中，完成样本合成。

上述两个数据集目录均包含两个子目录：其中<code>images</code>子目录存储图像文件，<code>labels</code>子目录存储遵循VOC2007格式的标注文件。<code>Normal_Insulators</code>的<code>labels</code>子目录仅包含绝缘子的标注信息；<code>Defective_Insulators</code>的<code>labels</code>子目录则同时包含绝缘子本体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，数据集由王梓昊（WANG Zi-Hao）整理制作。若您对该数据集有任何疑问，可联系邮箱[e-mail]。

搜集汇总

背景与挑战

背景概述

CPLID Dataset - ZIP是一个关于绝缘子的图像数据集，包含600张正常绝缘子和248张缺陷绝缘子的图像。缺陷图像通过数据增强方法生成，并附带VOC2007格式的标注信息，适用于电气能源传输和图像处理领域的研究。