Project-AgML/VegNet_cauliflower_disease_classification

VegNet Cauliflower Disease Classification

A dataset for disease classification of Cauliflower. The dataset contains raw and augmented versions.
The raw dataset contains 656 images.
Images per class:

• Bacterial spot rot: 173
• Black Rot: 100
• Downy Mildew: 177
• No disease: 206

The augmented dataset contains 7,360 images.
Images per class:

• Bacterial spot rot: 1,730
• Black Rot: 1,800
• Disease Free: 2,060
• Downy Mildew: 1,770

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

Citation

@article{sara2022vegnet,
  title={VegNet: An organized dataset of cauliflower disease for a sustainable agro-based automation system},
  author={Sara, Umme and Rajbongshi, Aditya and Shakil, Rashiduzzaman and Akter, Bonna and Uddin, Mohammad Shorif},
  journal={Data in Brief},
  volume={43},
  pages={108422},
  year={2022},
  publisher={Elsevier}
}

Rajbongshi, Aditya; Sara, Umme Sara; Shakil, Rashiduzzaman ; Akter, Bonna ; Uddin, Mohammad Shorif (2022), “VegNet: An extensive dataset of cauliflower images to recognize the diseases using machine learning and deep learning models”, Mendeley Data, V3, doi: 10.17632/t5sssfgn2v.3