Datasetpublic

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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/apple_leaf_disease_classification.

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Dataset Card

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

bibtex

@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