Project-AgML/COLD_chili_leaf_disease_classification

COLD Chili Leaf Disease Classification

A dataset for disease classification of chili leaves. The dataset contains raw and augmented versions.
The raw dataset contains 532 images.
Images per class:

• cercospora: 152
• healthy: 69
• mites_and_trips: 107
• nutritional: 102
• powdery mildew: 102

The augmented dataset contains 10,974 images.
Images per class:

• cercospora: 2,217
• healthy: 2,195
• mites_and_trips: 2,504
• nutritional: 2,029
• powdery mildew: 2,029

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

Citation

@article{aishwarya2024dataset,
  title={Dataset of chilli and onion plant leaf images for classification and detection},
  author={Aishwarya, MP and Reddy, A Padmanabha},
  journal={Data in Brief},
  volume={54},
  pages={110524},
  year={2024},
  publisher={Elsevier}
}

M P, Aishwarya; Reddy, Padmanabha (2024), “chilli dataset”, Mendeley Data, V2, doi: 10.17632/tf9dtfz9m6.2