Synthetic Fruit Image Dataset

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:
Example Image

Source

Brad Dwyer

Last Updated

10 months ago

Project Type

Object Detection

Subject

Fruits

Classes

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

License

CC BY 4.0