| --- |
| configs: |
| - config_name: raw |
| default: true |
| data_dir: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Black Spot |
| '1': Healthy Leaf |
| '2': Insect Hole |
| '3': Yellow Mosaic Virus |
| - config_name: preprocessed |
| data_dir: preprocessed |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Black Spot |
| '1': Healthy Leaf |
| '2': Insect Hole |
| '3': Yellow Mosaic Virus |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Rose Leaf Disease Classification |
|
|
| A dataset for classification of Rose leaf disease. The dataset contains raw and preprocessed versions. |
| The dataset contains 3,228 images. |
| Images per class: |
| - Black Spot: 409 |
| - Healthy Leaf: 1,686 |
| - Insect Hole: 453 |
| - Yellow Mosaic Virus: 680 |
|
|
| The preprocessed version has had images scaled down to 3000x3000, and backgrounds standardized. |
|
|
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{shacha2025roseleafinsight, |
| title={RoseLeafInsight: A high-resolution image dataset for rose leaf disease recognition}, |
| author={Shacha, Arnob Das and Durjoy, Sabbir Hossain and ShikderKamal, Md Emon Mostafa and Shoib, Md Mehedi Hasan and Bijoy, Md Hasan Imam}, |
| journal={Data in Brief}, |
| pages={111968}, |
| year={2025}, |
| publisher={Elsevier} |
| }``` |
|
|
| Shacha, Arnob Das; Durjoy, Sabbir Hossain; Shikder, Md Emon; Kamal, MD Mostafa; Shoib, Md Mehedi Hasan; Bijoy, Md Hasan Imam (2025), “RoseLeafInsight: A High-Resolution Image Dataset for Rose Leaf Disease Recognition”, Mendeley Data, V1, doi: 10.17632/8chrjdxn79.1 |
