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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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---
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# Java Plum Leaf Disease Classification
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A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.
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Images per class:
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- Bacterial_Spot: 400
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- Brown_Blight: 400
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- Dry: 400
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- Healthy: 400
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- Powdery_Mildew: 400
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- Sooty_Mold: 400
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This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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## Citation
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```bibtex
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@article{bhowmik2024customised,
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title={A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease},
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author={Bhowmik, Auvick Chandra and Ahad, Md Taimur and Emon, Yousuf Rayhan and Ahmed, Faruk and Song, Bo and Li, Yan},
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journal={Smart Agricultural Technology},
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volume={8},
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pages={100500},
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year={2024},
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publisher={Elsevier}
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}
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```
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Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3
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