智慧厨房菜品识别检测数据集VOC+YOLO格式5790张16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)Braised_Pork_Meatballs_in_Brown_Sauce 框数 = 394。Boiled_Fish_with_Sichuan_Peppercorns 框数 = 310。Fish_with_Pickled_Cabbage_and_
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):5790
标注数量(xml文件个数):5790
标注数量(txt文件个数):5790
标注类别数:16
数据集编号:mbd.pub/o/bread/mbd-Zp6XlZ5v
标注类别名称:["Boiled_Fish_with_Sichuan_Peppercorns","Braised_Pork_Meatballs_in_Brown_Sauce","Buddha_Jumps_Over_the_Wall","Dongpo_Pork","Fish_with_Pickled_Cabbage_and_Chili","Husband_and_Wife_Lung_Slices","Kung_Pao_Chicken","Mapo_Tofu","Peking_Duck","Saliva_Chicken","Soup_Dumplings","Steamed_Sea_Bass","Sweet_and_Sour_Pork","Twice-Cooked_Pork","West_Lake_Vinegar_Fish","Yuxiang_Shredded_Pork"]
每个类别标注的框数:
Boiled_Fish_with_Sichuan_Peppercorns 框数 = 310
Braised_Pork_Meatballs_in_Brown_Sauce 框数 = 394
Buddha_Jumps_Over_the_Wall 框数 = 344
Dongpo_Pork 框数 = 386
Fish_with_Pickled_Cabbage_and_Chili 框数 = 394
Husband_and_Wife_Lung_Slices 框数 = 294
Kung_Pao_Chicken 框数 = 413
Mapo_Tofu 框数 = 395
Peking_Duck 框数 = 466
Saliva_Chicken 框数 = 378
Soup_Dumplings 框数 = 445
Steamed_Sea_Bass 框数 = 401
Sweet_and_Sour_Pork 框数 = 421
Twice-Cooked_Pork 框数 = 400
West_Lake_Vinegar_Fish 框数 = 377
Yuxiang_Shredded_Pork 框数 = 396
总框数:6214
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
Peking Duck (北京烤鸭)
Sweet and Sour Pork (糖醋里脊)
Mapo Tofu (麻婆豆腐)
Yuxiang Shredded Pork (鱼香肉丝)
Husband and Wife Lung Slices (夫妻肺片)
Twice-Cooked Pork (回锅肉)
Kung Pao Chicken (宫保鸡丁)
Saliva Chicken (口水鸡)
Soup Dumplings (小笼包)
Braised Pork Meatballs in Brown Sauce (红烧狮子头)
Dongpo Pork (东坡肉)
West Lake Vinegar Fish (西湖醋鱼)
Buddha Jumps Over the Wall (佛跳墙)
Steamed Sea Bass (清蒸鲈鱼)
Fish with Pickled Cabbage and Chili (酸菜鱼)
Boiled Fish with Sichuan Peppercorns (水煮鱼)
图片预览:
标注例子:

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