ItemDetection Computer Vision Project
FruitSpoilage
Updated 8 months ago
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Classes (64)
Apples
Apricots
Artichokes
Arugula
Asparagus
Avocado Bananas Basil
Beets
Bell-peppers
Blackberries
Blueberries
Broccoli Brussels-sprouts
Cabbage Cantaloupe
Carrots Cauliflower Celery
Cherries
Corn Cranberries
Cucumbers Eggplant Fig
Garlic Ginger Grapes Green-beans
Honeydew-melon
Kale
Kiwi Leeks
Lemons Lettuce Limes Mangoes
Mushrooms Nectarines
Okra
Onions Oranges Papaya Parsley
Parsnips
Peaches
Pears Peas Pineapple Plums
Pomegranate Potatoes
Pumpkins Radishes
Raspberries
Red-peppers
Spinach
Strawberries
Sweet-potatoes
Tangerines
Tomatoes
Turnips
Watermelon Zucchini 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{
itemdetection_dataset,
title = { ItemDetection Dataset },
type = { Open Source Dataset },
author = { FruitSpoilage },
howpublished = { \url{ https://universe.roboflow.com/fruitspoilage-q6eqr/itemdetection } },
url = { https://universe.roboflow.com/fruitspoilage-q6eqr/itemdetection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-11-24 },
}