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+ ---
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+ configs:
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+ - config_name: raw
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+ default: true
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+ data_dir: raw
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': Healthy Leaf
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+ '1': Insect Pest Disease
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+ '2': Leaf Spot Disease
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+ '3': Mosaic Virus Disease
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+ '4': White Mold Disease
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+ '5': Wilt Disease
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+ - config_name: augmented
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+ data_dir: augmented
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': Healthy Leaf
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+ '1': Insect Pest Disease
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+ '2': Leaf Spot Disease
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+ '3': Mosaic Virus Disease
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+ '4': White Mold Disease
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+ '5': Wilt Disease
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-classification
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # Eggplant Disease Classification
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+
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+ A dataset for disease classification of Eggplants. The dataset contains raw and augmented versions.
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+ The raw dataset contains 4,089 images.
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+ Images per class:
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+ - Healthy Leaf: 1,451
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+ - Insect Pest Disease: 546
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+ - Leaf Spot Disease: 602
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+ - Mosaic Virus Disease: 1,362
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+ - White Mold Disease: 63
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+ - Wilt Disease: 65
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+
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+ The augmented dataset contains 20,353 images.
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+ Images per class:
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+ - Healthy Leaf: 7,265
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+ - Insect Pest Disease: 2,728
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+ - Leaf Spot Disease: 3,010
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+ - Mosaic Virus Disease: 6,710
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+ - White Mold Disease: 315
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+ - Wilt Disease: 325
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+
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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{howlader2025comprehensive,
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+ title={A comprehensive image dataset for the identification of eggplant leaf diseases and computer vision applications},
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+ author={Howlader, Shakib and Ahamed, Md Sabbir and Mojumdar, Mayen Uddin and Noori, Sheak Rashed Haider and Siddiquee, Shah Md Tanvir and Chakraborty, Narayan Ranjan},
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+ journal={Data in Brief},
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+ volume={59},
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+ pages={111353},
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+ year={2025},
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+ publisher={Elsevier}
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+ }```
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+
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+ Howlader, Shakib; Ahamed, Md. Sabbir; Mojumdar, Mayen Uddin (2025), “Eggplant Leaf Disease Detection Dataset”, Mendeley Data, V2, doi: 10.17632/d3ypkphghb.2