Datasets:
| from collections import OrderedDict | |
| FRUITS30_CLASSES = OrderedDict( | |
| { | |
| "0" : "acerolas", | |
| "1" : "apples", | |
| "2" : "apricots", | |
| "3" : "avocados", | |
| "4" : "bananas", | |
| "5" : "blackberries", | |
| "6" : "blueberries", | |
| "7" : "cantaloupes", | |
| "8" : "cherries", | |
| "9" : "coconuts", | |
| "10" : "figs", | |
| "11" : "grapefruits", | |
| "12" : "grapes", | |
| "13" : "guava", | |
| "14" : "kiwifruit", | |
| "15" : "lemons", | |
| "16" : "limes", | |
| "17" : "mangos", | |
| "18" : "olives", | |
| "19" : "oranges", | |
| "20" : "passionfruit", | |
| "21" : "peaches", | |
| "22" : "pears", | |
| "23" : "pineapples", | |
| "24" : "plums", | |
| "25" : "pomegranates", | |
| "26" : "raspberries", | |
| "27" : "strawberries", | |
| "28" : "tomatoes", | |
| "29" : "watermelons" | |
| } | |
| ) |