数据集有超过一半为增强数据
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)：9498
标注数量(xml文件个数)：9498
标注数量(txt文件个数)：9498
标注类别数：105
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):["Agnesi Polenta","Almond Milk","Apple","Artichoke","Asparagus","Aubergine","Avocado","Bacon","Banana","Basmati Rice","Bazlama","Beans","Beetroot","Bell Peppers","Black Berries","Blue Berries","Book","Bread","Broccoli","Brussel Sprouts","Butter","Cabbage","Calvin Klein","Cantaloupe","Carrot","Cauliflower","Cereal","Cerealbox","Cheese","Chillies","Chocolate","Clementine","Coffee","Corn","Courgates","Cream","Cucumber","Dabur Honey","Dates","Detergent","Dr Pepper","Drinks","Egg Plant","Eggs","Fish","Flour","Galia","Ginger","Grapes","Green bell pepper","Groats","Ground meat","Ham","Heavy cream","Honey Dew","Jack Daniels","Juice","Lemon","Lettuce","Lime","Mango","Meat","Milk","Mushroom","Nectarine","Nespresso","Oil","Olives","Onion","Orange","Paco Rabanne","Parsley","Patanjali Honey","Peach","Peas","Pineapple","Pixel 4","Planet Oat Original","Plum","Potatoes","Rasp Berries","Red bell pepper","Red onion","Salad","Samsung S20","Sauce","Sausages","Shrimp","Spinach","Spring onion","Squash","Straw Berry","Sugar","Sweet potato","Sweetcorn","Tida","Tofu","Tomato Paste","Tomatoes","Tropicana","Water","Watermelon","Yellow bell pepper","Yoghurt","Zuccini"]
每个类别标注的框数：
Agnesi Polenta 框数 = 29
Almond Milk 框数 = 59
Apple 框数 = 1861
Artichoke 框数 = 11
Asparagus 框数 = 65
Aubergine 框数 = 12
Avocado 框数 = 481
Bacon 框数 = 72
Banana 框数 = 995
Basmati Rice 框数 = 27
Bazlama 框数 = 9
Beans 框数 = 10796
Beetroot 框数 = 15
Bell Peppers 框数 = 45
Black Berries 框数 = 53
Blue Berries 框数 = 122
Book 框数 = 369
Bread 框数 = 498
Broccoli 框数 = 561
Brussel Sprouts 框数 = 68
Butter 框数 = 596
Cabbage 框数 = 215
Calvin Klein 框数 = 26
Cantaloupe 框数 = 327
Carrot 框数 = 1267
Cauliflower 框数 = 243
Cereal 框数 = 261
Cerealbox 框数 = 74
Cheese 框数 = 1520
Chillies 框数 = 294
Chocolate 框数 = 30
Clementine 框数 = 60
Coffee 框数 = 33532
Corn 框数 = 70
Courgates 框数 = 15
Cream 框数 = 108
Cucumber 框数 = 793
Dabur Honey 框数 = 872
Dates 框数 = 3
Detergent 框数 = 2133
Dr Pepper 框数 = 27
Drinks 框数 = 20045
Egg Plant 框数 = 72
Eggs 框数 = 9431
Fish 框数 = 3
Flour 框数 = 91
Galia 框数 = 210
Ginger 框数 = 24
Grapes 框数 = 76
Green bell pepper 框数 = 21
Groats 框数 = 30
Ground meat 框数 = 36
Ham 框数 = 117
Heavy cream 框数 = 39
Honey Dew 框数 = 145
Jack Daniels 框数 = 27
Juice 框数 = 925
Lemon 框数 = 921
Lettuce 框数 = 470
Lime 框数 = 141
Mango 框数 = 9
Meat 框数 = 2136
Milk 框数 = 1681
Mushroom 框数 = 625
Nectarine 框数 = 106
Nespresso 框数 = 29
Oil 框数 = 30
Olives 框数 = 126
Onion 框数 = 153
Orange 框数 = 554
Paco Rabanne 框数 = 29
Parsley 框数 = 27
Patanjali Honey 框数 = 400
Peach 框数 = 12
Peas 框数 = 57
Pineapple 框数 = 1
Pixel 4 框数 = 29
Planet Oat Original 框数 = 63
Plum 框数 = 75
Potatoes 框数 = 186
Rasp Berries 框数 = 84
Red bell pepper 框数 = 36
Red onion 框数 = 18
Salad 框数 = 25
Samsung S20 框数 = 26
Sauce 框数 = 477
Sausages 框数 = 321
Shrimp 框数 = 51
Spinach 框数 = 127
Spring onion 框数 = 9
Squash 框数 = 107
Straw Berry 框数 = 434
Sugar 框数 = 72
Sweet potato 框数 = 60
Sweetcorn 框数 = 36
Tida 框数 = 29
Tofu 框数 = 125
Tomato Paste 框数 = 681
Tomatoes 框数 = 1754
Tropicana 框数 = 4300
Water 框数 = 84
Watermelon 框数 = 242
Yellow bell pepper 框数 = 87
Yoghurt 框数 = 1621
Zuccini 框数 = 128
总框数：108700
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：
标注例子：
