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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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/COLD_chili_leaf_disease_classification.

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Dataset Card

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
—mitesandtrips: 107
—nutritional: 102
—powdery mildew: 102

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

—cercospora: 2,217
—healthy: 2,195
—mitesandtrips: 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

bibtex

@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