Project-AgML/apple_leaf_disease_classification

Apple Leaf Disease Classification

A dataset for image classification of Apple Leaf Disease Classification. The dataset contains 7,505 images across 3 classes: Alternaria, Apple_Mosaic, Healthy.
Images per class:

• Alternaria: 2,523
• Apple_Mosaic: 2,523
• Healthy: 2,459

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

Citation

@article{yatoo2024indigenous,
  title={An indigenous dataset for the detection and classification of apple leaf diseases},
  author={Yatoo, Arshad Ahmad and Sharma, Amit},
  journal={Data in Brief},
  volume={53},
  pages={110165},
  year={2024},
  publisher={Elsevier}
}

Yatoo, Arshad; Sharma, Amit (2024), “Indigenous Dataset for Apple Leaf Disease Detection and Classification”, Mendeley Data, V3, doi: 10.17632/9m2dcb5mmr.3