Project-AgML/grapevine_esca_classification

Grapevine Esca Classification

A dataset for disease classification of grapevine leaves. The dataset contains 1,770 images across 2 classes: esca, healthy.
Images per class:

• esca: 888
• healthy: 882

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

Citation

@article{alessandrini2021grapevine,
  title={A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning},
  author={Alessandrini, M and Rivera, R Calero Fuentes and Falaschetti, L and Pau, D and Tomaselli, V and Turchetti, C},
  journal={Data in Brief},
  volume={35},
  pages={106809},
  year={2021},
  publisher={Elsevier}
}

Alessandrini, Michele; Calero Fuentes Rivera, Romel ; Falaschetti, Laura; Pau, Danilo; Tomaselli, Valeria; Turchetti, Claudio (2021), “ESCA-dataset”, Mendeley Data, V1, doi: 10.17632/89cnxc58kj.1

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