---
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