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):21814

标注数量(xml文件个数):21814

标注数量(txt文件个数):21814

标注类别数:34

数据集编号:mbd.pub/o/bread/Z5yUm5Zt

标注类别名称:["bamboo_1","bamboo_2","bamboo_3","bamboo_4","bamboo_5","bamboo_6","bamboo_7","bamboo_8","bamboo_9","character_1","character_2","character_3","character_4","character_5","character_6","character_7","character_8","character_9","circle_1","circle_2","circle_3","circle_4","circle_5","circle_6","circle_7","circle_8","circle_9","east","green","north","red","south","west","white"]

每个类别标注的框数:

bamboo_1 框数 = 4471

bamboo_2 框数 = 3824

bamboo_3 框数 = 4918

bamboo_4 框数 = 4978

bamboo_5 框数 = 4602

bamboo_6 框数 = 4583

bamboo_7 框数 = 4869

bamboo_8 框数 = 4683

bamboo_9 框数 = 4571

character_1 框数 = 5031

character_2 框数 = 4841

character_3 框数 = 4239

character_4 框数 = 4971

character_5 框数 = 4515

character_6 框数 = 5086

character_7 框数 = 4505

character_8 框数 = 4937

character_9 框数 = 4062

circle_1 框数 = 4742

circle_2 框数 = 4853

circle_3 框数 = 4861

circle_4 框数 = 4850

circle_5 框数 = 4627

circle_6 框数 = 4396

circle_7 框数 = 5265

circle_8 框数 = 4763

circle_9 框数 = 5069

east 框数 = 5437

green 框数 = 6073

north 框数 = 6206

red 框数 = 4985

south 框数 = 5417

west 框数 = 5371

white 框数 = 6239

总框数:166840

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:

麻jiang检测数据集VOC+YOLO格式21814张34类别_ci

标注例子:

麻jiang检测数据集VOC+YOLO格式21814张34类别_txt文件_02