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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Blight
            '1': Common_Rust
            '2': Gray_Leaf_Spot
            '3': Healthy
  splits:
    - name: train
      num_bytes: 48180050
      num_examples: 4188
  download_size: 171316661
  dataset_size: 48180050
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Corn Maize Leaf Disease

A dataset for disease classification of corn/maize leaves. The dataset contains 4,188 images across 4 classes: Blight, Common_Rust, Gray_Leaf_Spot, Healthy.
Images per class:

  • Blight: 1,146
  • Common_Rust: 1,306
  • Gray_Leaf_Spot: 574
  • Healthy: 1,162

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

Citation

Singh D, Jain N, Jain P, Kayal P, Kumawat S, Batra N. PlantDoc: a dataset for visual plant disease detection. InProceedings of the 7th ACM IKDD CoDS and 25th COMAD 2020 Jan 5 (pp. 249-253).