FOOD-INGREDIENTS dataset Computer Vision Project
Instance Segmentation
Updated 2 months ago
0
0
Tags
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
A description for this project has not been published yet.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-11-10 },
}