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Project-AgML/grapevine_disease_classification

Grapevine Disease Classification A dataset for disease classification of grapevines. The dataset contains 611 images across 4 classes and 4 grape varieties: Images per class: conf: 199 conf+: 77 esca: 107 fd: 228 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{tardif2023expertized, title={An expertized grapevine disease image database including five grape varieties focused on Flavescence… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grapevine_disease_classification.

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Grapevine Disease Classification

A dataset for disease classification of grapevines. The dataset contains 611 images across 4 classes and 4 grape varieties: Images per class:

—conf: 199
—conf+: 77
—esca: 107
—fd: 228

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

Citation

bibtex

@article{tardif2023expertized,
  title={An expertized grapevine disease image database including five grape varieties focused on Flavescence dor{\'e}e and its confounding diseases, biotic and abiotic stresses},
  author={Tardif, Malo and Amri, Ahmed and Deshayes, Aymeric and Greven, Marc and Keresztes, Barna and Fontaine, Ga{\"e}l and Sicaud, Laetitia and Paulhac, Laetitia and Bentejac, Sophie and Da Costa, Jean-Pierre},
  journal={Data in Brief},
  volume={48},
  pages={109230},
  year={2023},
  publisher={Elsevier}
}

Tardif, Malo (2023), “An expertized grapevine disease image database focused on Flavescence dorée and its confounding diseases”, Mendeley Data, V2, doi: 10.17632/3dr9r3w3jn.2

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