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Rose Leaf Disease Classification
A dataset for classification of Rose leaf disease. The dataset contains raw and preprocessed versions.
The dataset contains 3,228 images.
Images per class:
- Black Spot: 409
- Healthy Leaf: 1,686
- Insect Hole: 453
- Yellow Mosaic Virus: 680
The preprocessed version has had images scaled down to 3000x3000, and backgrounds standardized.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{shacha2025roseleafinsight,
title={RoseLeafInsight: A high-resolution image dataset for rose leaf disease recognition},
author={Shacha, Arnob Das and Durjoy, Sabbir Hossain and ShikderKamal, Md Emon Mostafa and Shoib, Md Mehedi Hasan and Bijoy, Md Hasan Imam},
journal={Data in Brief},
pages={111968},
year={2025},
publisher={Elsevier}
}```
Shacha, Arnob Das; Durjoy, Sabbir Hossain; Shikder, Md Emon; Kamal, MD Mostafa; Shoib, Md Mehedi Hasan; Bijoy, Md Hasan Imam (2025), “RoseLeafInsight: A High-Resolution Image Dataset for Rose Leaf Disease Recognition”, Mendeley Data, V1, doi: 10.17632/8chrjdxn79.1
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