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)：16099

标注数量(xml文件个数)：16099

标注数量(txt文件个数)：16099

标注类别数：72

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):["almond","apple","asparagus","avocado","bakingpowder","bakingsoda","banana","beef","beet","bellpepper","bread","broccoli","butter","cabbage","carrot","cauliflower","celery","cheese","chicken","chickenbreast","cilantro","cinnamon","corn","cream","cucumber","egg","eggplant","flour","garlic","ginger","grapes","grated_cheese","greenonion","jam","ketchup","lemon","lettuce","lime","mango","mayonaise","milk","mustard","nuts","oil","onion","orange","paprika","parsley","pasta","peanutbutter","pear","peas","pineapple","plum","potato","rice","rosemary","salmon","sausage","shrimp","soysauce","spaghetti","spinach","strawberries","sugar","sweetpotato","tomato","tomatosauce","vanilla_extract","watermelon","whole_chicken","yogurt"]

每个类别标注的框数：

almond (杏仁) 框数 = 423

apple (苹果) 框数 = 1736

asparagus (芦笋) 框数 = 574

avocado (牛油果) 框数 = 241

bakingpowder (泡打粉) 框数 = 398

bakingsoda (小苏打) 框数 = 299

banana (香蕉) 框数 = 1142

beef (牛肉) 框数 = 457

beet (甜菜) 框数 = 493

bellpepper (甜椒) 框数 = 1012

bread (面包) 框数 = 256

broccoli (西兰花) 框数 = 352

butter (黄油) 框数 = 397

cabbage (卷心菜) 框数 = 475

carrot (胡萝卜) 框数 = 1097

cauliflower (花椰菜) 框数 = 450

celery (芹菜) 框数 = 280

cheese (奶酪) 框数 = 527

chicken (鸡肉) 框数 = 820

chickenbreast (鸡胸肉) 框数 = 648

cilantro (香菜) 框数 = 151

cinnamon (肉桂) 框数 = 139

corn (玉米) 框数 = 506

cream (奶油) 框数 = 103

cucumber (黄瓜) 框数 = 1380

egg (鸡蛋) 框数 = 1427

eggplant (茄子) 框数 = 1137

flour (面粉) 框数 = 380

garlic (大蒜) 框数 = 1807

ginger (姜) 框数 = 407

grapes (葡萄) 框数 = 101

grated_cheese (芝士碎) 框数 = 185

greenonion (大葱) 框数 = 637

jam (果酱) 框数 = 495

ketchup (番茄酱) 框数 = 701

lemon (柠檬) 框数 = 963

lettuce (生菜) 框数 = 464

lime (青柠) 框数 = 571

mango (芒果) 框数 = 149

mayonaise (蛋黄酱) 框数 = 316

milk (牛奶) 框数 = 736

mustard (芥末酱) 框数 = 223

nuts (坚果) 框数 = 136

oil (食用油) 框数 = 355

onion (洋葱) 框数 = 888

orange (橙子) 框数 = 1238

paprika (红辣椒粉) 框数 = 331

parsley (欧芹) 框数 = 396

pasta (意大利面) 框数 = 201

peanutbutter (花生酱) 框数 = 173

pear (梨) 框数 = 1430

peas (豌豆) 框数 = 400

pineapple (菠萝) 框数 = 356

plum (李子) 框数 = 1396

potato (土豆) 框数 = 1239

rice (大米) 框数 = 637

rosemary (迷迭香) 框数 = 316

salmon (三文鱼) 框数 = 726

sausage (香肠) 框数 = 138

shrimp (虾) 框数 = 565

soysauce (酱油) 框数 = 207

spaghetti (意大利面条) 框数 = 1652

spinach (菠菜) 框数 = 290

strawberries (草莓) 框数 = 948

sugar (糖) 框数 = 260

sweetpotato (红薯) 框数 = 307

tomato (番茄) 框数 = 2591

tomatosauce (番茄酱) 框数 = 498

vanilla_extract (香草精) 框数 = 287

watermelon (西瓜) 框数 = 733

whole_chicken (整鸡) 框数 = 406

yogurt (酸奶) 框数 = 937

总框数：45092

图片分辨率：640x640

数据集是否有增强：有增强，少于一半

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：