Project-AgML/plant_leaf_disease_classification

Plant Leaf Disease Classification

A dataset for disease classification of leaves from Bitter Gourd, Bottle Gourd, Tomato, Eggplant, Cauliflower, and Cucumber. The dataset contains 12,786 images across 16 classes:
Images per class:

• Anthracnose: 601
• Anthracnose lesions: 535
• Black Rot: 560
• Downey mildew: 1,254
• Downy mildew: 1,076
• Eggplant Cercopora leaf spot: 723
• Eggplant begomovirus: 720
• Eggplant fresh leaf: 771
• Eggplant verticillium wilt: 730
• Fresh leaf: 2,122
• Fusarium wilt: 502
• Mosaic virus: 600
• Tomato Bacterial spot: 589
• Tomato Fresh leaf: 594
• Tomato leaf curl virus: 755
• Tomato spotted wilt: 654

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

Citation

@article{hasan2024comprehensive,
  title={Comprehensive smart smartphone image dataset for plant leaf disease detection and freshness assessment from Bangladesh vegetable fields},
  author={Hasan, Mahamudul and Gani, Raiyan and Rashid, Mohammad Rifat Ahmmad and Tarin, Taslima Khan and Kamara, Raka and Mou, Mahbuba Yasmin and Rabbi, Sheikh Fajlay},
  journal={Data in Brief},
  volume={56},
  pages={110775},
  year={2024},
  publisher={Elsevier}
}

Rashid, Mohammad Rifat Ahmmad; Tarin, Taslima Khan ; Kamara, Raka ; Mou, Mahbuba Yasmin ; Rabbi, Sheikh Fajlay ; Hasan, Mahamudul (2024), “Plant Leaf Freshness and Disease Detection Dataset From Bangladesh”, Mendeley Data, V3, doi: 10.17632/n67gctmjyj.3