RawRipe Dataset

Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives, IECON'21

Introduced 2021-10-13

The dataset comprises of images of 10 types of fruits in both raw and ripe states.

The fruit-types include: apple, banana, coconut, gauva, litchi, mango, orange, papaya, pomegranate and strawberry.

The dataset can be used two solve three types classification problem:

  1. raw vs ripe for a specific fruit (agricultural perspective)

  2. raw vs ripe for any fruit (market perspective)

  3. multi-class/label classification (automation perspective)

For more details, refer to the following paper:

Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives, IECON'21

Paper link: https://ieeexplore.ieee.org/document/9589215

Please cite the paper if you use the dataset in your projects/papers.

@INPROCEEDINGS{9589215,

author={Rao Jerripothula, Koteswar and Kumar Shukla, Sarvesh and Jain, Samyak and Singh, Shudhanshu},

booktitle={IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society},

title={Fruit Maturity Recognition from Agricultural, Market and Automation Perspectives},

year={2021},

pages={1-6},

doi={10.1109/IECON48115.2021.9589215}

}