Datasets:

Project-AgML
/

pomegranate_disease_classification_india

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': Alternaria
            '1': Anthracnose
            '2': Bacterial_Blight
            '3': Cercospora
            '4': Healthy
  splits:
    - name: train
      num_bytes: 5108516611
      num_examples: 5099
  download_size: 4537061610
  dataset_size: 5108516611

Pomegranate Disease Classification India

A dataset for disease classification of Pomegranate fruits. The dataset contains 5,099 images across 5 classes: Alternaria, Anthracnose, Bacterial_Blight, Cercospora, Healthy.
Images per class:

Alternaria: 886
Anthracnose: 1,166
Bacterial_Blight: 966
Cercospora: 631
Healthy: 1,450

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

Citation

@article{pakruddin2024comprehensive,
  title={A comprehensive standardized dataset of numerous pomegranate fruit diseases for deep learning},
  author={Pakruddin, B and Hemavathy, R},
  journal={Data in Brief},
  volume={54},
  pages={110284},
  year={2024},
  publisher={Elsevier}
}

B, Pakruddin; R, Dr. Hemavathy (2023), “Pomegranate Fruit Diseases Dataset for Deep Learning Models”, Mendeley Data, V1, doi: 10.17632/b6s2rkpmvh.1