Project-AgML/cucumber_disease_classification

Cucumber Disease Classification

A dataset for disease classification of cucumber. The dataset contains 7,689 images across 8 classes: Anthracnose, Bacterial_Wilt, Belly_Rot, Downy_Mildew, Fresh_Cucumber, Fresh_Leaf, Gummy_Stem_Blight, Pythium_Fruit_Rot.
Images per class:

• Anthracnose: 960
• Bacterial_Wilt: 960
• Belly_Rot: 960
• Downy_Mildew: 960
• Fresh_Cucumber: 960
• Fresh_Leaf: 960
• Gummy_Stem_Blight: 960
• Pythium_Fruit_Rot: 969

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

Citation

@article{sultana2023dataset,
  title={A dataset for successful recognition of cucumber diseases},
  author={Sultana, Nusrat and Shorif, Sumaita Binte and Akter, Morium and Uddin, Mohammad Shorif},
  journal={Data in Brief},
  volume={49},
  pages={109320},
  year={2023},
  publisher={Elsevier}
}

Sultana, Nusrat; Shorif, Sumaita Binte ; Akter, Morium ; Uddin, Mohammad Shorif (2022), “Cucumber Disease Recognition Dataset”, Mendeley Data, V1, doi: 10.17632/y6d3z6f8z9.1