| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': early_leaf_spot |
| '1': healthy leaf |
| '2': late leaf spot |
| '3': nutrition deficiency |
| '4': rust |
| splits: |
| - name: train |
| num_bytes: 801090792 |
| num_examples: 3058 |
| download_size: 809834020 |
| dataset_size: 801090792 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Groundnut Leaf Disease Classification 2 |
|
|
| A dataset for disease classification of groundnut leaves. The dataset contains 3,058 images across 5 classes: early_leaf_spot, healthy leaf, late leaf spot, nutrition deficiency, rust. |
| Images per class: |
| - early_leaf_spot: 885 |
| - healthy leaf: 929 |
| - late leaf spot: 689 |
| - nutrition deficiency: 329 |
| - rust: 226 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{aishwarya2023dataset, |
| title={Dataset of groundnut plant leaf images for classification and detection}, |
| author={Aishwarya, MP and Reddy, A Padmanabha}, |
| journal={Data in Brief}, |
| volume={48}, |
| pages={109185}, |
| year={2023}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Manvikar, Aishwarya; Reddy, Padmanabha (2023), “Dataset of groundnut plant leaf images for classification and detection”, Mendeley Data, V3, doi: 10.17632/22p2vcbxfk.3 |
