水果蔬菜检测数据集VOC+YOLO格式9637张94类别

作品简介

数据集有部分增强,提供百度云盘地址

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):9637

标注数量(xml文件个数):9637

标注数量(txt文件个数):9637

标注类别数:94

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):["Bitter melon","Brinjal","Cabbage","Calabash","Capsicum","Cauliflower","Cluster bean","Curry Leaf","Garlic","Ginger","Green Chili","Green Peas","Healthy","Hyacinth Beans","Lady finger","Onion","Potato","Sapodilla","Sponge Gourd","Tomato","apple","banana","beans","beef","beet","beetroot","bell_pepper","bittergourd","blueberries","bottle","bottlegourd","bread","brinjal","broccoli","butter","cabbage","capsicum","carrot","cat-Abyssinian","cat-Bengal","cat-Birman","cauliflower","charger","cheese","chicken","chicken_breast","chilli","chocolate","corn","cucumber","egg","eggplant","eggs","fig","flour","garlic","ginger","goat_cheese","grape","green_beans","ground_beef","haft-cabbage","half carrot","half onion","ham","heavy_cream","jalapeno","kiwi","lemon","lettuce","lime","milk","mushrooms","onion","orange","papaya","pear","pineapple","pomogranate","potato","pumpkin","raddish","redonion","scarletgourds","shrimp","spinach","spounggourd","strawberries","strawberry","sugar","sweet_potato","tomato","watermelon","zucchini"]

每个类别标注的框数:

Bitter melon 框数 = 95

Brinjal 框数 = 51

Cabbage 框数 = 28

Calabash 框数 = 21

Capsicum 框数 = 71

Cauliflower 框数 = 32

Cluster bean 框数 = 33

Curry Leaf 框数 = 7

Garlic 框数 = 132

Ginger 框数 = 14

Green Chili 框数 = 137

Green Peas 框数 = 7

Healthy 框数 = 47

Hyacinth Beans 框数 = 14

Lady finger 框数 = 90

Onion 框数 = 207

Potato 框数 = 150

Sapodilla 框数 = 167

Sponge Gourd 框数 = 23

Tomato 框数 = 164

apple 框数 = 211

banana 框数 = 656

beans 框数 = 13

beef 框数 = 98

beet 框数 = 1194

beetroot 框数 = 33

bell_pepper 框数 = 3173

bittergourd 框数 = 363

blueberries 框数 = 133

bottle 框数 = 7

bottlegourd 框数 = 110

bread 框数 = 51

brinjal 框数 = 288

broccoli 框数 = 297

butter 框数 = 128

cabbage 框数 = 1965

capsicum 框数 = 664

carrot 框数 = 2962

cat-Abyssinian 框数 = 101

cat-Bengal 框数 = 102

cat-Birman 框数 = 1

cauliflower 框数 = 108

charger 框数 = 6

cheese 框数 = 185

chicken 框数 = 152

chicken_breast 框数 = 43

chilli 框数 = 186

chocolate 框数 = 41

corn 框数 = 151

cucumber 框数 = 2708

egg 框数 = 1759

eggplant 框数 = 2051

eggs 框数 = 56

fig 框数 = 194

flour 框数 = 158

garlic 框数 = 2185

ginger 框数 = 17

goat_cheese 框数 = 95

grape 框数 = 23

green_beans 框数 = 131

ground_beef 框数 = 80

haft-cabbage 框数 = 16

half carrot 框数 = 24

half onion 框数 = 32

ham 框数 = 74

heavy_cream 框数 = 141

jalapeno 框数 = 10

kiwi 框数 = 159

lemon 框数 = 9

lettuce 框数 = 13

lime 框数 = 137

milk 框数 = 133

mushrooms 框数 = 129

onion 框数 = 4020

orange 框数 = 75

papaya 框数 = 72

pear 框数 = 1

pineapple 框数 = 16

pomogranate 框数 = 138

potato 框数 = 2810

pumpkin 框数 = 130

raddish 框数 = 112

redonion 框数 = 1

scarletgourds 框数 = 271

shrimp 框数 = 156

spinach 框数 = 152

spounggourd 框数 = 92

strawberries 框数 = 204

strawberry 框数 = 176

sugar 框数 = 178

sweet_potato 框数 = 132

tomato 框数 = 3438

watermelon 框数 = 143

zucchini 框数 = 1034

总框数:38597

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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