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Dragonfruit Maturity Classification
A dataset for maturity classification of dragonfruit. The dataset contains raw and augmented versions.
The raw dataset contains 2,127 images.
Images per class:
- Immature Dragon Fruit: 1,241
- Mature Dragon Fruit: 886
The augmented dataset contains 5,010 images.
Images per class:
- Immature Dragon Fruit: 3,000
- Mature Dragon Fruit: 2,010
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{khatun2024comprehensive,
title={A comprehensive dragon fruit image dataset for detecting the maturity and quality grading of dragon fruit},
author={Khatun, Tania and Nirob, Md Asraful Sharker and Bishshash, Prayma and Akter, Morium and Uddin, Mohammad Shorif},
journal={Data in Brief},
volume={52},
pages={109936},
year={2024},
publisher={Elsevier}
}
Khatun, Tania; Nirob, Md. Asraful Sharker ; Bishshash, Prayma ; Uddin, Mohammad Shorif (2023), “Dragon Fruit Maturity Detection and Quality Grading Dataset”, Mendeley Data, V1, doi: 10.17632/2jpzbx8tm6.1
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