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# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
path: LVIS_Fruits_And_Vegetables # dataset root dir
train: images/train # 1000 train images (relative to 'path')
val: images/test # 7221 val images (relative to 'path')
test: images/test # 180 Manually labeled test images
names:
0: almond
1: apple
2: apricot
3: artichoke
4: asparagus
5: avocado
6: banana
7: bean curd/tofu
8: bell pepper/capsicum
9: blackberry
10: blueberry
11: broccoli
12: brussels sprouts
13: cantaloup/cantaloupe
14: carrot
15: cauliflower
16: cayenne/cayenne spice/cayenne pepper/cayenne pepper spice/red pepper/red pepper
17: celery
18: cherry
19: chickpea/garbanzo
20: chili/chili vegetable/chili pepper/chili pepper vegetable/chilli/chilli vegetable/chilly/chilly
21: clementine
22: coconut/cocoanut
23: edible corn/corn/maize
24: cucumber/cuke
25: date/date fruit
26: eggplant/aubergine
27: fig/fig fruit
28: garlic/ail
29: ginger/gingerroot
30: Strawberry
31: gourd
32: grape
33: green bean
34: green onion/spring onion/scallion
35: Tomato
36: kiwi fruit
37: lemon
38: lettuce
39: lime
40: mandarin orange
41: melon
42: mushroom
43: onion
44: orange/orange fruit
45: papaya
46: pea/pea food
47: peach
48: pear
49: persimmon
50: pickle
51: pineapple
52: potato
53: prune
54: pumpkin
55: radish/daikon
56: raspberry
57: strawberry
58: sweet potato
59: tomato
60: turnip
61: watermelon
62: zucchini/courgette
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