| --- |
| 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 |
