| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Blight |
| '1': Common_Rust |
| '2': Gray_Leaf_Spot |
| '3': Healthy |
| splits: |
| - name: train |
| num_bytes: 48180050 |
| num_examples: 4188 |
| download_size: 171316661 |
| dataset_size: 48180050 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # Corn Maize Leaf Disease |
|
|
| A dataset for disease classification of corn/maize leaves. The dataset contains 4,188 images across 4 classes: Blight, Common_Rust, Gray_Leaf_Spot, Healthy. |
| Images per class: |
| - Blight: 1,146 |
| - Common_Rust: 1,306 |
| - Gray_Leaf_Spot: 574 |
| - Healthy: 1,162 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| Singh D, Jain N, Jain P, Kayal P, Kumawat S, Batra N. PlantDoc: a dataset for visual plant disease detection. InProceedings of the 7th ACM IKDD CoDS and 25th COMAD 2020 Jan 5 (pp. 249-253). |
