seg with underpresented classes Computer Vision Project

segmentation detection

Updated 6 months ago

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Classes (103)
French beans
almond
apple
apricot
asparagus
avocado
bamboo shoots
banana
bean sprouts
biscuit [353 kcal]
blueberry bread broccoli cabbage cake
cake [535 Kcal]
carrot
cashew
cauliflower
celery stick
cheese butter
cherry
chicken duck
chocolate
cilantro mint
coffee corn crab cucumber date
dried cranberries
egg
egg tart
eggplant
enoki mushroom
fig
fish
french fries
fried meat
garlic ginger grape
green beans
hamburg
hanamaki baozi
ice cream juice
kelp
king oyster mushroom
kiwi lamb lemon lettuce mango melon milk
milkshake
noodles
okra
olives
onion orange
other ingredients
oyster mushroom
pasta peach
peanut
pear pepper
pie
pineapple pizza
popcorn
pork potato
pudding
pumpkin rape
raspberry
red beans
rice salad
sauce
sausage
seaweed
shellfish
shiitake
shrimp
snow peas
soup
soy
spring onion
steak
strawberry tea
tofu
tomato walnut watermelon
white button mushroom
white radish
wine
wonton dumplings

A description for this project has not been published yet.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            seg-with-underpresented-classes_dataset,
                            title = { seg with underpresented classes Dataset },
                            type = { Open Source Dataset },
                            author = { segmentation detection },
                            howpublished = { \url{ https://universe.roboflow.com/segmentation-detection/seg-with-underpresented-classes } },
                            url = { https://universe.roboflow.com/segmentation-detection/seg-with-underpresented-classes },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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