Fruit Quality Datasets (FruQ-DB)

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 19 October 2022

Copyright license: No records found.

FruQ-DBis a dataset containing 11 varieties of fruits images. These images were created from YouTube fruit time-lapse videos (see link to the videos below).The FruQ-DB database consist of image frames from fruits such as banana, cucumber, grape, kaki, papaya, peach, pear, pepper, strawberry, tomatoes, and watermelon. A total number of 5647 preprocessed images with de-watermarked and resized (224x224). Three classes of fruit quality with number of image samples per class is summarized below: Fresh(2182 images) Mild (1364 images) Rotten(2101 images) Another datasets is uploaded FruQ-Multi is another folder containing each typesof fruits and their classes. Links to the YouTube videos for the different fruit time elapse are: Avocado https://www.youtube.com/watch?v=FeQehUXZYPk Banana https://www.youtube.com/watch?v=OmcXo9XC6Uc Cucumber https://www.youtube.com/watch?v=UMnevucxOug Kaki (persimmon) https://www.youtube.com/watch?v=xE0Pw7jeOBo Papaya https://www.youtube.com/watch?v=M8scWymSp2Y Peach https://www.youtube.com/watch?v=g9pf19wk0-Et=367s Pepper https://www.youtube.com/watch?v=H0Sd6Foaepk Strawberry https://www.youtube.com/watch?v=UMnevucxOug Tomato https://www.youtube.com/watch?v=6xEcoU1vAZk Watermelon https://www.youtube.com/watch?v=S12zZhdOckc

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