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.
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
@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
