麻将检测数据集VOC+YOLO格式21814张34类别

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 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

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