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Project-AgML/soybean_leaf_disease_classification_brazil

Soybean Leaf Disease Classification Brazil A dataset for disease classification of soybean leaves. The dataset contains 6,410 images across 3 classes: Caterpillar, Diabrotica speciosa, Healthy.Images per class: Caterpillar: 3,309 Diabrotica speciosa: 2,205 Healthy: 896 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{mignoni2022soybean, title={Soybean images dataset for caterpillar and Diabrotica… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/soybean_leaf_disease_classification_brazil.

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Soybean Leaf Disease Classification Brazil

A dataset for disease classification of soybean leaves. The dataset contains 6,410 images across 3 classes: Caterpillar, Diabrotica speciosa, Healthy. Images per class:

—Caterpillar: 3,309
—Diabrotica speciosa: 2,205
—Healthy: 896

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

Citation

bibtex

@article{mignoni2022soybean,
  title={Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification},
  author={Mignoni, Maria Eloisa and Honorato, Aislan and Kunst, Rafael and Righi, Rodrigo and Massuquetti, Ang{\'e}lica},
  journal={Data in Brief},
  volume={40},
  pages={107756},
  year={2022},
  publisher={Elsevier}
}

Mignoni, Maria Eloisa (2021), “Images of Soybean Leaves”, Mendeley Data, V1, doi: 10.17632/bycbh73438.1

This dataset was reformatted from its original format to match HuggingFace standards.