Project-AgML/grapevine_leaf_disease_portugal

Grapevine Leaf Disease Portugal

Field photographs of grapevine leaves from four vineyards in the Douro and Vinho Verde regions of northern Portugal (University of Trás-os-Montes e Alto Douro and Casa de Mateus in Vila Real, the Polytechnic Institute of Viana do Castelo in Ponte de Lima, and vineyards in Abaças), 5,267 RGB images in five classes: healthy (1,122, from the cultivars Loureiro, Viosinho and Malvasia Fina), downy mildew (1,006), powdery mildew (1,126), Esca complex (1,000) and erineum mite (1,013). Leaves were photographed with a Xiaomi Redmi Note 12 Pro smartphone under natural daylight during the 2024 and 2025 growing seasons, framed so the whole leaf is visible, and labelled from visible symptoms without laboratory confirmation. This is the 1024 x 1024 pixel resized edition of the record (the 3000 x 3000 originals are a separate 16.7 GB archive). Each row holds the image, its class label, the capture date from the file name, and the cultivar, which is known only for the healthy leaves. The dataset contains 5,267 images across 5 classes: Downy Mildew, Erineum Mite, Esca Complex, Healthy, Powdery Mildew.
Images per class:

• Downy Mildew: 1,006
• Erineum Mite: 1,013
• Esca Complex: 1,000
• Healthy: 1,122
• Powdery Mildew: 1,126

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

Citation

@article{portela2026dataset,
  title={Dataset of RGB images of healthy grapevine leaves and with downy mildew, powdery mildew, Esca complex, and erineum mite symptoms},
  author={Portela, Fernando and Carneiro, Gabriel and Ferreira, Leilson and Paredes, Cláudio A and Sousa, Joaquim J and Peres, Emanuel and Morais, Raul and Pádua, Luís},
  journal={Data in Brief},
  volume={66},
  pages={112743},
  year={2026},
  publisher={Elsevier}
}

The dataset itself can be cited as:

Portela, F. T., Gabriel, C., Ferreira, L., Paredes, C. A., Sousa, J. J., Peres, E., Morais, R., & Pádua, L. (2025). Grapevine Leaves RGB Images of Disease Symptons (Esca, Downy Mildew, Powdery Mildew, and Erineum Mite) [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.17343474

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