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Project-AgML/bean_cowpea_leaf_disease_classification

Bean Cowpea Leaf Disease Classification A dataset for disease classification of bean and cowpea leaves. The dataset contains 4,467 images across 6 classes: Bacterial wilt, Blight, Fresh Leaf, Mosaic Virus, Rust, Septoria leaf spot.Images per class: Bacterial wilt: 581 Blight: 510 Fresh Leaf: 1,090 Mosaic Virus: 1,141 Rust: 568 Septoria leaf spot: 577 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/bean_cowpea_leaf_disease_classification.

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Bean Cowpea Leaf Disease Classification

A dataset for disease classification of bean and cowpea leaves. The dataset contains 4,467 images across 6 classes: Bacterial wilt, Blight, Fresh Leaf, Mosaic Virus, Rust, Septoria leaf spot. Images per class:

  • Bacterial wilt: 581
  • Blight: 510
  • Fresh Leaf: 1,090
  • Mosaic Virus: 1,141
  • Rust: 568
  • Septoria leaf spot: 577

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

Citation

bibtex
@article{hasan2024comprehensive,
  title={Comprehensive smartphone image dataset for bean and cowpea plant leaf disease detection and freshness assessment from Bangladesh vegetable fields},
  author={Hasan, Mahamudul and Gani, Raiyan and Rashid, Mohammad Rifat Ahmmad and Kamara, Raka and Tarin, Taslima Khan and Rabbi, Sheikh Fajlay},
  journal={Data in Brief},
  volume={57},
  pages={111023},
  year={2024},
  publisher={Elsevier}
}

Rashid, Mohammad Rifat Ahmmad; Hasan, Mahamudul; Gani, Raiyan ; Kamara, Raka ; Tarin, Taslima Khan ; Rabbi, Sheikh Fajlay (2024), “Image Dataset for Bean and Cowpea Plant Leaf Disease Detection and Freshness Assessment from Bangladesh ”, Mendeley Data, V1, doi: 10.17632/ykvcrjffzd.1