Synthetic Fruit Computer Vision Project
Brad Dwyer
Updated 3 years ago
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Classes (63)
Apple
Apricot
Avocado Banana Beetroot
Blueberry Cactus
Cantaloupe
Carambula
Cauliflower Cherry Chestnut
Clementine
Cocos
Dates Eggplant Ginger Granadilla
Grape Grapefruit
Guava Hazelnut
Huckleberry
Kaki
Kiwi Kohlrabi
Kumquats
Lemon Limes Lychee
Mandarine
Mango Mangostan
Maracuja
Melon Mulberry
Nectarine
Nut Onion Orange Papaya Passion
Peach Pear Pepino
Pepper Physalis
Pineapple Pitahaya
Plum
Pomegranate Pomelo
Potato Quince
Rambutan
Raspberry
Redcurrant
Salak Strawberry Tamarillo
Tangelo
Tomato Walnut Description
About this dataset
This dataset contains 6,000 example images generated with the process described in Roboflow's How to Create a Synthetic Dataset tutorial.
The images are composed of a background (randomly selected from Google's Open Images dataset) and a number of fruits (from Horea94's Fruit Classification Dataset) superimposed on top with a random orientation, scale, and color transformation. All images are 416x550 to simulate a smartphone aspect ratio.
To generate your own images, follow our tutorial or download the code.
Example: 
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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{
synthetic-fruit-tcza3_dataset,
title = { Synthetic Fruit Dataset },
type = { Open Source Dataset },
author = { Brad Dwyer },
howpublished = { \url{ https://universe.roboflow.com/thom-le/synthetic-fruit-tcza3 } },
url = { https://universe.roboflow.com/thom-le/synthetic-fruit-tcza3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { aug },
note = { visited on 2024-11-21 },
}