| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Disease |
| '1': Healthy |
| splits: |
| - name: train |
| num_bytes: 10050779185 |
| num_examples: 3655 |
| download_size: 9963944944 |
| dataset_size: 10050779185 |
| 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 |
| --- |
| |
| # SoyNet Leaf Health Classification |
|
|
| A dataset for health classification of soy leaves. The dataset contains 3,655 images across 2 classes: Disease, Healthy. |
| Images per class: |
| - Disease: 3,210 |
| - Healthy: 445 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{rajput2023soynet, |
| title={SoyNet: A high-resolution Indian soybean image dataset for leaf disease classification}, |
| author={Rajput, Arpan Singh and Shukla, Shailja and Thakur, SS}, |
| journal={Data in Brief}, |
| volume={49}, |
| pages={109447}, |
| year={2023}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Rajput, Arpan Singh ; Rajput, Alpa Singh; Shukla, Shailja; Thakur, S S (2026), “SoyNet: Indian Soybean Image dataset with quality images captured from the agriculture field ( healthy and disease Images)”, Mendeley Data, V3, doi: 10.17632/w2r855hpx8.3 |
