EL Dataset of PV modules

This repository provides a dataset of solar cell images extracted from high-resolution electroluminescence images of photovoltaic modules. The dataset contains 2,624 samples of 300x300 pixels 8-bit grayscale images of functional and defective solar cells with varying degree of degradations extracted from 44 different solar modules. The defects in the annotated images are either of intrinsic or extrinsic type and are known to reduce the power efficiency of solar modules. All images are normalized with respect to size and perspective. Additionally, any distortion induced by the camera lens used to capture the EL images was eliminated prior to solar cell extraction. Every image is annotated with a defect probability (a floating point value between 0 and 1) and the type of the solar module (either mono- or polycrystalline) the solar cell image was originally extracted from. The individual images are stored in the images directory and the corresponding annotations in labels.csv. --More explanations in the README file--

本仓库提供了一组从光伏组件高分辨率电致发光（electroluminescence, EL）图像中提取的太阳能电池图像数据集。该数据集包含2624个样本，均为300×300像素的8位灰度图像，样本取自44个不同的光伏组件，涵盖功能正常与存在不同程度退化的太阳能电池。标注图像中的缺陷分为本征型与外在型两类，此类缺陷已被证实会降低光伏组件的发电效率。所有图像均已完成尺寸与透视归一化处理，且在提取太阳能电池图像前，已消除采集EL图像所用相机镜头引入的畸变。每张图像均标注有缺陷概率（取值为0至1的浮点数值），以及该太阳能电池图像原始所属光伏组件的类型（单晶硅或多晶硅）。单张图像存储于images目录中，对应的标注信息存储于labels.csv文件内。——更多说明详见README文件