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)：1673

标注数量(xml文件个数)：1673

标注数量(txt文件个数)：1673

标注类别数：21

所在仓库：firc-dataset

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):["AD_milk","blue_box","coca_cola_can","dongpeng","fanta_can","green_box","jingdian_milk","lays_crisps","liziyuan_milk","mengniu_milk","pepsi_cola_can","red_box","redbull_can","shuyuan_crisps","sprite_can","telunsu_milk","wanglaoji_can","wangzai_milk_can","yangleduo_milk","yellow_box","yili_milk"]

每个类别标注的框数：

AD_milk (AD钙奶) 框数 = 79

blue_box (蓝色包装盒) 框数 = 78

coca_cola_can (可口可乐罐) 框数 = 71

dongpeng (东鹏特饮) 框数 = 86

fanta_can (芬达罐) 框数 = 85

green_box (绿色包装盒) 框数 = 77

jingdian_milk (经典牛奶) 框数 = 84

lays_crisps (乐事薯片) 框数 = 163

liziyuan_milk (李子园牛奶) 框数 = 94

mengniu_milk (蒙牛牛奶) 框数 = 76

pepsi_cola_can (百事可乐罐) 框数 = 84

red_box (红色包装盒) 框数 = 70

redbull_can (红牛罐) 框数 = 72

shuyuan_crisps (薯愿薯片) 框数 = 120

sprite_can (雪碧罐) 框数 = 83

telunsu_milk (特仑苏牛奶) 框数 = 80

wanglaoji_can (王老吉罐) 框数 = 89

wangzai_milk_can (旺仔牛奶罐) 框数 = 77

yangleduo_milk (养乐多) 框数 = 100

yellow_box (黄色包装盒) 框数 = 79

yili_milk (伊利牛奶) 框数 = 89

总框数：1836

图片分辨率：640x640

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

图片预览：

标注例子：