【目标检测】茶叶树上茶叶病害检测数据集5411张7类标签YOLO+VOC(已增强)

作品简介

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:5411

Annotations文件夹中xml文件总计:5411

labels文件夹中txt文件总计:5411

标签种类数:8

标签名称:["Black rot of tea","Brown blight of tea","Leaf rust of tea","Red Spider infested tea leaf","Tea Mosquito bug infested leaf","White spot of tea","disease","healthy"]

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):

Black rot of tea 框数 = 77(黑腐病)

Brown blight of tea 框数 = 3(褐枯病)

Leaf rust of tea 框数 = 1871(叶锈病)

Red Spider infested tea leaf 框数 = 669(红蜘蛛)

Tea Mosquito bug infested leaf 框数 = 4184(蚊虫叮咬)

White spot of tea 框数 = 193(白点)

disease 框数 = 3(病害)

healthy 框数 = 276(健康)

总框数:7276

图片清晰度(分辨率:像素):清晰

图片是否增强:是

标签形状:矩形框,用于目标检测识别

数据集类型:119m

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

标注示例:

图片示例:



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