Datasets:

Project-AgML
/

rice_leaf_disease_classification

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Bacterial_Leaf_Blight
            '1': Brown_Spot
            '2': Healthy_Rice_Leaf
            '3': Leaf_Blast
            '4': Leaf_Scald
            '5': Sheath_Blight
  splits:
    - name: train
      num_bytes: 1160091824
      num_examples: 3829
  download_size: 1067599051
  dataset_size: 1160091824
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

Rice Leaf Disease Classification

A dataset for image classification of Rice Leaf Disease Classification. The dataset contains 3,829 images across 6 classes: Bacterial_Leaf_Blight, Brown_Spot, Healthy_Rice_Leaf, Leaf_Blast, Leaf_Scald, Sheath_Blight.
Images per class:

Bacterial_Leaf_Blight: 636
Brown_Spot: 646
Healthy_Rice_Leaf: 653
Leaf_Blast: 634
Leaf_Scald: 628
Sheath_Blight: 632

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

Citation

https://www.kaggle.com/datasets/anshulm257/rice-disease-dataset/data