| --- |
| 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 |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Ascochyta blight |
| '1': Lentil Rust |
| '2': Normal |
| '3': Powdery Mildew |
| splits: |
| - name: train |
| num_bytes: 72069344 |
| num_examples: 5349 |
| download_size: 73836213 |
| dataset_size: 72069344 |
| --- |
| |
| # Lentil Disease Classification |
|
|
| A dataset for disease classification of lentil leaves. The dataset contains 5,349 images across 4 classes: Ascochyta blight, Lentil Rust, Normal, Powdery Mildew. |
| Images per class: |
| - Ascochyta blight: 1,229 |
| - Lentil Rust: 1,248 |
| - Normal: 1,569 |
| - Powdery Mildew: 1,303 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{mahamud2025lentil, |
| title={Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning research}, |
| author={Mahamud, Eram and Assaduzzaman, Md and Sharmin, Shayla}, |
| journal={Data in Brief}, |
| volume={58}, |
| pages={111224}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Mahamud, Eram ; Tapos, Md Assaduzzaman (2024), “Lentil Plant Disease Image Dataset (4 Class)”, Mendeley Data, V2, doi: 10.17632/7vb77bz2st.2 |
