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Project-AgML/MangoLeafBD_disease_classification

MangoLeafBD Disease Classification A dataset for disease classification of Mango leaves. The dataset contains 4,000 images across 8 classes: Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall Midge, Healthy, Powdery Mildew, Sooty Mould.Images per class: Anthracnose: 500 Bacterial Canker: 500 Cutting Weevil: 500 Die Back: 500 Gall Midge: 500 Healthy: 500 Powdery Mildew: 500 Sooty Mould: 500 This dataset is indexed on https://project-agml.github.io/ as part of the… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MangoLeafBD_disease_classification.

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Dataset Card

MangoLeafBD Disease Classification

A dataset for disease classification of Mango leaves. The dataset contains 4,000 images across 8 classes: Anthracnose, Bacterial Canker, Cutting Weevil, Die Back, Gall Midge, Healthy, Powdery Mildew, Sooty Mould. Images per class:

—Anthracnose: 500
—Bacterial Canker: 500
—Cutting Weevil: 500
—Die Back: 500
—Gall Midge: 500
—Healthy: 500
—Powdery Mildew: 500
—Sooty Mould: 500

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@article{ahmed2023mangoleafbd,
  title={MangoLeafBD: A comprehensive image dataset to classify diseased and healthy mango leaves},
  author={Ahmed, Sarder Iftekhar and Ibrahim, Muhammad and Nadim, Md and Rahman, Md Mizanur and Shejunti, Maria Mehjabin and Jabid, Taskeed and Ali, Md Sawkat},
  journal={Data in Brief},
  volume={47},
  pages={108941},
  year={2023},
  publisher={Elsevier}
}

Ali, Sawkat; Ibrahim, Muhammad ; Ahmed, Sarder Iftekhar ; Nadim, Md. ; Mizanur, Mizanur Rahman; Shejunti, Maria Mehjabin ; Jabid, Taskeed (2022), “MangoLeafBD Dataset”, Mendeley Data, V1, doi: 10.17632/hxsnvwty3r.1