| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': ALTERNARIA LEAF SPOT |
| '1': HEALTHY |
| '2': LEAF SPOT |
| '3': ROSETTE |
| '4': RUST |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Groundnut Leaf Disease Classification |
|
|
| A dataset for image classification of Groundnut Leaf Disease Classification. The dataset contains 1,720 images across 5 classes: ALTERNARIA LEAF SPOT, HEALTHY, LEAF SPOT, ROSETTE, RUST. |
| Images per class: |
| - ALTERNARIA LEAF SPOT: 450 |
| - HEALTHY: 600 |
| - LEAF SPOT: 450 |
| - ROSETTE: 100 |
| - RUST: 120 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{sasmal2024novel, |
| title={A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases}, |
| author={Sasmal, Buddhadev and Das, Arunita and Dhal, Krishna Gopal and Saheb, Sk Belal and Khurma, Ruba Abu and Castillo, Pedro A}, |
| journal={Data in Brief}, |
| volume={55}, |
| pages={110763}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Sasmal, Buddhadev ; Das, Arunita; Dhal, Krishna Gopal; Saheb, Belal; Abu Khurma, Ruba ; Castillo-Valdivieso, Pedro A. (2024), “A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases”, Mendeley Data, V2, doi: 10.17632/x6x5jkk873.2 |
|
|
|
|
