Fruits-360 dataset: A dataset of images containing fruits, vegetables, and nuts

Version: 2024.08.04.0

Content

The following fruits, vegetables and nuts and are included: Apples (different varieties: Crimson Snow, Golden, Golden-Red, Granny Smith, Pink Lady, Red, Red Delicious), Apricot, Avocado, Avocado ripe, Banana (Yellow, Red, Lady Finger), Beetroot Red, Blueberry, Cabbage, Cactus fruit, Cantaloupe (2 varieties), Carambula, Carrot, Cauliflower, Cherry (different varieties, Rainier), Cherry Wax (Yellow, Red, Black), Chestnut, Clementine, Cocos, Corn (with husk), Cucumber (ripened, regular), Dates, Eggplant, Fig, Ginger Root, Granadilla, Grape (Blue, Pink, White (different varieties)), Grapefruit (Pink, White), Guava, Hazelnut, Huckleberry, Kiwi, Kaki, Kohlrabi, Kumsquats, Lemon (normal, Meyer), Lime, Lychee, Mandarine, Mango (Green, Red), Mangostan, Maracuja, Melon Piel de Sapo, Mulberry, Nectarine (Regular, Flat), Nut (Forest, Pecan), Onion (Red, White), Orange, Papaya, Passion fruit, Peach (different varieties), Pepino, Pear (different varieties, Abate, Forelle, Kaiser, Monster, Red, Stone, Williams), Pepper (Red, Green, Orange, Yellow), Physalis (normal, with Husk), Pineapple (normal, Mini), Pitahaya Red, Plum (different varieties), Pomegranate, Pomelo Sweetie, Potato (Red, Sweet, White), Quince, Rambutan, Raspberry, Redcurrant, Salak, Strawberry (normal, Wedge), Tamarillo, Tangelo, Tomato (different varieties, Maroon, Cherry Red, Yellow, not ripened, Heart), Walnut, Watermelon, Zucchini (green and dark).

How to cite

Mihai Oltean, Fruits-360 dataset, 2017-

Dataset properties

The total number of images: 94110. Only images scaled to 100x100 pixels are counted here.

Training set size: 70491 images (one object per image).

Test set size: 23619 images (one object per image).

The number of classes: 141 (fruits and vegetables).

Image size in the largest dataset version: 100x100 pixels.

Filename format:

image_index_100.jpg (e.g. 31_100.jpg) or

r_image_index_100.jpg (e.g. r_31_100.jpg) or

r?_image_index_100.jpg (e.g. r2_31_100.jpg)

where "r" stands for rotated fruit. "r2" means that the fruit was rotated around the 3rd axis. "100" comes from image size (100x100 pixels).

WARNING

There is a new -major version- of the dataset under release. A test archive (named fruits-360_dataset_original-size.zip) was already loaded to Kaggle. The new version contains images at their original (captured) size. The name of the image files in the new version does not contain the "_100" suffix anymore. This will help you to make distinction between this version and the old 100x100 version. So, if you use the 100x100 version, please make sure that the file names have the "_100" suffix. All others MUST be ignored.

END OF WARNING

Different varieties of the same fruit (apple for instance) are stored as belonging to different classes.

Alternate download

The Fruits-360 dataset can be downloaded from:

Kaggle https://www.kaggle.com/moltean/fruits

GitHub https://github.com/fruits-360

How fruits were filmed

Fruits and vegetables were planted in the shaft of a low-speed motor (3 rpm) and a short movie of 20 seconds was recorded.

A Logitech C920 camera was used for filming the fruits. This is one of the best webcams available.

Behind the fruits, we placed a white sheet of paper as a background.

Here is a movie showing how the fruits and vegetables are filmed: https://youtu.be/_HFKJ144JuU

How fruits were extracted from background

However, due to the variations in the lighting conditions, the background was not uniform and we wrote a dedicated algorithm that extracts the fruit from the background. This algorithm is of flood fill type: we start from each edge of the image and we mark all pixels there, then we mark all pixels found in the neighborhood of the already marked pixels for which the distance between colors is less than a prescribed value. We repeat the previous step until no more pixels can be marked.

All marked pixels are considered as being background (which is then filled with white) and the rest of the pixels are considered as belonging to the object.

The maximum value for the distance between 2 neighbor pixels is a parameter of the algorithm and is set (by trial and error) for each movie.

Pictures from the test-multiple_fruits folder were taken with a Nexus 5X phone.

History

Fruits were filmed at the dates given below (YYYY.MM.DD):

2017.02.25 - Apple (golden).

2017.02.28 - Apple (red-yellow, red, golden2), Kiwi, Pear, Grapefruit, Lemon, Orange, Strawberry, Banana.

2017.03.05 - Apple (golden3, Braeburn, Granny Smith, red2).

2017.03.07 - Apple (red3).

2017.05.10 - Plum, Peach, Peach flat, Apricot, Nectarine, Pomegranate.

2017.05.27 - Avocado, Papaya, Grape, Cherrie.

2017.12.25 - Carambula, Cactus fruit, Granadilla, Kaki, Kumsquats, Passion fruit, Avocado ripe, Quince.

2017.12.28 - Clementine, Cocos, Mango, Lime, Lychee.

2017.12.31 - Apple Red Delicious, Pear Monster, Grape White.

2018.01.14 - Ananas, Grapefruit Pink, Mandarine, Pineapple, Tangelo.

2018.01.19 - Huckleberry, Raspberry.

2018.01.26 - Dates, Maracuja, Plum 2, Salak, Tamarillo.

2018.02.05 - Guava, Grape White 2, Lemon Meyer

2018.02.07 - Banana Red, Pepino, Pitahaya Red.

2018.02.08 - Pear Abate, Pear Williams.

2018.05.22 - Lemon rotated, Pomegranate rotated.

2018.05.24 - Cherry Rainier, Cherry 2, Strawberry Wedge.

2018.05.26 - Cantaloupe (2 varieties).

2018.05.31 - Melon Piel de Sapo.

2018.06.05 - Pineapple Mini, Physalis, Physalis with Husk, Rambutan.

2018.06.08 - Mulberry, Redcurrant.

2018.06.16 - Hazelnut, Walnut, Tomato, Cherry Red.

2018.06.17 - Cherry Wax (Yellow, Red, Black).

2018.08.19 - Apple Red Yellow 2, Grape Blue, Grape White 3-4, Peach 2, Plum 3, Tomato Maroon, Tomato 1-4 .

2018.12.20 - Nut Pecan, Pear Kaiser, Tomato Yellow.

2018.12.21 - Banana Lady Finger, Chesnut, Mangostan.

2018.12.22 - Pomelo Sweetie.

2019.04.21 - Apple Crimson Snow, Apple Pink Lady, Blueberry, Kohlrabi, Mango Red, Pear Red, Pepper (Red, Yellow, Green).

2019.06.18 - Beetroot Red, Corn, Ginger Root, Nectarine Flat, Nut Forest, Onion Red, Onion Red Peeled, Onion White, Potato Red, Potato Red Washed, Potato Sweet, Potato White.

2019.07.07 - Cauliflower, Eggplant, Pear Forelle, Pepper Orange, Tomato Heart.

2019.09.22 - Corn Husk, Cucumber Ripe, Fig, Pear 2, Pear Stone, Tomato not Ripened, Watermelon.

2021.06.07 - Eggplant long 1.

2021.08.09 - Apple hit 1, Cucumber 1.

2021.09.03 - Pear 3.

2021.09.22 - Apple 6, Cucumber 3.

2023.12.30 - Official Github repository is now https://github.com/fruits-360

License

MIT License

Copyright (c) 2017- Mihai Oltean

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.