| --- |
| 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 |
| splits: |
| - name: train |
| num_bytes: 807799888 |
| num_examples: 10407 |
| download_size: 819745776 |
| dataset_size: 807799888 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # Paddy Disease Classification |
|
|
| A dataset for disease classification of rice paddies. The dataset contains 10,407 images across 10 classes: bacterial_leaf_blight, bacterial_leaf_streak, bacterial_panicle_blight, blast, brown_spot, dead_heart, downy_mildew, hispa, normal, tungro. |
| Images per class: |
| - bacterial_leaf_blight: 479 |
| - bacterial_leaf_streak: 380 |
| - bacterial_panicle_blight: 337 |
| - blast: 1,738 |
| - brown_spot: 965 |
| - dead_heart: 1,442 |
| - downy_mildew: 620 |
| - hispa: 1,594 |
| - normal: 1,764 |
| - tungro: 1,088 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| Petchiammal A, Briskline Kiruba S, Murugan D, Pandarasamy Arjunan. (2022). Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. IEEE Dataport. https://dx.doi.org/10.21227/hz4v-af08 |
