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资源说明:资源文件统一放在百度云盘存储下载,如下载失败可联系本人补发邮箱(联系时邮箱地址提供一下哈)~~~~~ 数据集格式：VOC格式+YOLO格式 压缩包内含：3个文件夹，分别存储图片、xml、txt文件 JPEGImages文件夹中jpg图片总计：2049 Annotations文件夹中xml文件总计：2049 labels文件夹中txt文件总计：2049 标签种类数：16 标签名称:["Cell Chip","Cell Scratch","Crack crossing at bus bar","Dark edges","Double line crack","Dry solder","Full line crack","Grid Fingers","Single line Crack-10-25mm-","Single line Crack-25-45mm-","Single line Crack-45-75mm-","Star crack","Tree crack","V crack","X crack","Y crack"] 每个标签的框数（注意yolo格式类别顺序不和这个对应，而以labels文件夹classes.txt为准）： Cell Chip 框数 = 255 Cell Scratch 框数 = 261 Crack crossing at bus bar 框数 = 251 Dark edges 框数 = 266 Double line crack 框数 = 251 Dry solder 框数 = 256 Full line crack 框数 = 251 Grid Fingers 框数 = 264 Single line Crack-10-25mm- 框数 = 255 Single line Crack-25-45mm- 框数 = 251 Single line Crack-45-75mm- 框数 = 253 Star crack 框数 = 250 Tree crack 框数 = 257 V crack 框数 = 252 X crack 框数 = 253 Y crack 框数 = 254 总框数：4080 图片清晰度（分辨率：像素）：清晰 图片是否增强：否 标签形状：矩形框，用于目标检测识别 重要说明：暂无 特别声明：本数据集不对训练的模型或者权重文件精度作任何保证，数据集只提供准确且合理标注

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