RawRipe Dataset
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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} }