metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': bacterial_leaf_blight
            '1': bacterial_leaf_streak
            '2': bacterial_panicle_blight
            '3': blast
            '4': brown_spot
            '5': dead_heart
            '6': downy_mildew
            '7': hispa
            '8': normal
            '9': tungro
    - name: variety
      dtype:
        class_label:
          names:
            '0': ADT45
            '1': IR20
            '2': KarnatakaPonni
            '3': Onthanel
            '4': Ponni
            '5': Surya
            '6': Zonal
            '7': AndraPonni
            '8': AtchayaPonni
            '9': RR
    - name: age
      dtype: int16
  splits:
    - name: train
      num_bytes: 834127756.552
      num_examples: 10407
  download_size: 816344863
  dataset_size: 834127756.552
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - image-classification
tags:
  - biology
  - medical
pretty_name: Paddy Disease Classification
size_categories:
  - 1K<n<10K
Dataset Card for "paddy-disease-classification"

Taken from the Paddy Doctor Kaggle Competition
More Information needed