FOOD-INGREDIENTS dataset Computer Vision Project

Instance Segmentation

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Classes (120)
Akabare Khursani
Apple
Artichoke
Ash Gourd (Kubhindo)
Asparagus (Kurilo)
Avocado
Bacon
Bamboo Shoots (Tama)
Banana Beans
Beaten Rice (Chiura)
Beef
Beetroot
Bethu ko Saag
Bitter Gourd
Black Lentils
Black beans
Bottle Gourd (Lauka)
Bread
Brinjal
Broad Beans (Bakullo)
Broccoli
Buff Meat
Butter Cabbage
Capsicum
Carrot
Cassava (Ghar Tarul)
Cauliflower
Chayote(iskus)
Cheese Chicken
Chicken Gizzards
Chickpeas
Chili Pepper (Khursani)
Chili Powder
Chowmein Noodles
Cinnamon
Coriander (Dhaniya)
Corn
Cornflakec
Crab Meat
Cucumber Egg
Farsi ko Munta
Fiddlehead Ferns (Niguro)
Fish
Garden Peas
Garden cress(Chamsur ko saag)
Garlic Ginger
Green Brinjal
Green Lentils
Green Mint (Pudina)
Green Peas
Green Soyabean (Hariyo Bhatmas)
Gundruk
Ham
Ice
Jack Fruit
Ketchup
Lapsi (Nepali Hog Plum)
Lemon (Nimbu)
Lime (Kagati)
Long Beans (Bodi)
Masyaura
Milk
Minced Meat
Moringa Leaves (Sajyun ko Munta)
Mushroom Mutton
Nutrela (Soya Chunks)
Okra (Bhindi)
Olive Oil
Onion
Onion Leaves
Orange
Palak (Indian Spinach)
Palungo (Nepali Spinach)
Paneer
Papaya
Pea
Pear
Pointed Gourd (Chuche Karela)
Pork Potato
Pumpkin (Farsi)
Radish
Rahar ko Daal
Rayo ko Saag
Red Beans
Red Lentils
Rice (Chamal)
Sajjyun (Moringa Drumsticks)
Salt
Sausage
Snake Gourd (Chichindo)
Soy Sauce
Soyabean (Bhatmas)
Sponge Gourd (Ghiraula)
Stinging Nettle (Sisnu)
Strawberry Sugar
Sweet Potato (Suthuni)
Taro Leaves (Karkalo)
Taro Root(Pidalu)
Thukpa Noodles
Tofu
Tomato
Tori ko Saag
Tree Tomato (Rukh Tamatar)
Turnip
Wallnut Water Melon Wheat
Yellow Lentils
kimchi
mayonnaise
noodle
seaweed

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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{
                            food-ingredients-dataset-itw42_dataset,
                            title = { FOOD-INGREDIENTS dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Instance Segmentation },
                            howpublished = { \url{ https://universe.roboflow.com/instance-segmentation-rg7x1/food-ingredients-dataset-itw42 } },
                            url = { https://universe.roboflow.com/instance-segmentation-rg7x1/food-ingredients-dataset-itw42 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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