数据集中包含大量四张图拼接增强图片,病害主要涵盖黄瓜本体,黄瓜叶子病害以及黄瓜虫害检测3个方面
数据集格式:Pascal VOC格式+YOLO格式(不包含分割路径的txt文件,仅仅包含jpg图片以及对应的VOC格式xml文件和yolo格式txt文件)
图片数量(jpg文件个数):2532
标注数量(xml文件个数):2532
标注数量(txt文件个数):2532
标注类别数:16
标注类别名称(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):["Anthracnose","Aphids","Bacterial Wilt","Cucumber Fresh","Cucumber Rotten","Cucumber Semifresh","Cucumber Semirotten","Downy-mildew","Fruit fly","Green peach aphid","Gummy Stem Blight","Healthy","Powdery-mildew","Pumpkin-Beetle","Serpentine-leafminer","Whitefly"]
每个类别标注的框数:
Anthracnose 框数 = 516
Aphids 框数 = 7
Bacterial Wilt 框数 = 587
Cucumber Fresh 框数 = 1407
Cucumber Rotten 框数 = 931
Cucumber Semifresh 框数 = 18
Cucumber Semirotten 框数 = 428
Downy-mildew 框数 = 1489
Fruit fly 框数 = 447
Green peach aphid 框数 = 2403
Gummy Stem Blight 框数 = 410
Healthy 框数 = 381
Powdery-mildew 框数 = 539
Pumpkin-Beetle 框数 = 670
Serpentine-leafminer 框数 = 646
Whitefly 框数 = 656
总框数:11535
使用标注工具:labelImg
标注规则:对类别进行画矩形框
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
图片预览:



标注例子:
