# 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