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@@ -25,3 +25,32 @@ configs:
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  - split: train
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  path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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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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+
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+ ## Citation
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+
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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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+
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+ Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3