Project-AgML/durian_disease_classification

Durian Disease Classification

A dataset for disease classification of durian. The dataset contains 5,451 images across 10 classes: anthracnose_disease, canker_disease, fruit_rot, mealybug_infestation, pink_disease, sooty_mold, stem_blight, stem_cracking_ gummosis, thrips_disease, yellow_leaf. Images per class:

• anthracnose_disease: 549
• canker_disease: 557
• fruit_rot: 528
• mealybug_infestation: 536
• pink_disease: 549
• sooty_mold: 541
• stem_blight: 554
• stem_cracking_ gummosis: 560
• thrips_disease: 537
• yellow_leaf: 540

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

Citation

@article{nguyen2025image,
  title={Image dataset of ten durian diseases captured in real-field conditions from a family orchard in Vinh Long, Vietnam},
  author={Nguyen, Tan},
  journal={Data in Brief},
  pages={112244},
  year={2025},
  publisher={Elsevier}
}

Nguyen, Tan (2025), “Image Dataset of Ten Durian Diseases Captured in Real-Field Conditions from a Family Orchard in Vinh Long, Vietnam”, Mendeley Data, V1, doi: 10.17632/mhjwyb5p48.1