Published October 19, 2022 | Version v1
Dataset Open

Fruit Quality Datasets (FruQ-DB)

  • 1. Kaunas University of Technology, Lithuania

Description

FruQ-DB is 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:

  1. Fresh (2182 images)
  2. Mild (1364 images)
  3. Rotten  (2101 images)

Another datasets is uploaded FruQ-Multi is another folder containing each types of 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-E&t=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

Files

FruQ-DB.zip

Files (4.9 GB)

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md5:1a942c2d49dc302bacef155561e1f9a8
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