Datasets:

Project-AgML
/

bay_leaf_disease_classification

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Disease
            '1': Dry Leaf
            '2': Healthy
  splits:
    - name: train
      num_bytes: 2436966386
      num_examples: 5696
  download_size: 2844479854
  dataset_size: 2436966386

Bay Leaf Disease Classification

A dataset for disease classification of bay leaves. The dataset contains 5,696 images across 3 classes: Disease, Dry Leaf, Healthy.
Images per class:

Disease: 1,477
Dry Leaf: 3,074
Healthy: 1,145

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

Citation

@article{paygude2024dataset,
  title={A dataset revolutionizing Indian bay leaf analysis},
  author={Paygude, Priyanka and Thite, Sandip and Kumar, Ajay and Bhosle, Amol and Pawar, Rajendra and Mane, Renuka and Joshi, Rahul and Kasar, Manisha and Chavan, Prashant and Gayakwad, Milind},
  journal={Data in Brief},
  volume={57},
  pages={111024},
  year={2024},
  publisher={Elsevier}
}

PAYGUDE, PRIYANKA; CHAVAN, PRASHANT; Gayakwad, Milind (2024), “Indian Bay Leaves or Cinnamomum Tamala Leaves Dataset”, Mendeley Data, V2, doi: 10.17632/s9t7sr52wg.2