| --- |
| dataset_info: |
| - config_name: augmented |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Black Spot |
| '1': Dry Leaf |
| '2': Healthy Leaf |
| '3': Leaf Holes |
| splits: |
| - name: train |
| num_bytes: 400562967 |
| num_examples: 10000 |
| download_size: 400801970 |
| dataset_size: 400562967 |
| - config_name: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Black Spot |
| '1': Dry Leaf |
| '2': Healthy Leaf |
| '3': Leaf Holes |
| splits: |
| - name: train |
| num_bytes: 5570900810 |
| num_examples: 3113 |
| download_size: 5571111871 |
| dataset_size: 5570900810 |
| configs: |
| - config_name: augmented |
| data_files: |
| - split: train |
| path: augmented/train-* |
| - config_name: raw |
| data_files: |
| - split: train |
| path: raw/train-* |
| default: true |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Roseleafset Disease Classification |
|
|
| RoseLeafSet is a set of close-up smartphone photos of rose leaves collected in rose nurseries around Savar, Dhaka, Bangladesh, between October 30 and November 6, 2024, labelled into four foliar conditions: black spot, dry leaf, healthy leaf and leaf holes. Images were taken with a Vivo IQOO Z9x phone at 3264 x 2448 pixels. The default raw config holds the 3,113 original photos (class-imbalanced: 1,288 black spot, 324 dry leaf, 818 healthy, 683 leaf holes); the augmented config holds the authors' class-balanced augmented set of 2,500 images per class (10,000 total), derived from contrast-enhanced, padded versions of the originals. The dataset contains raw and augmented versions. |
| The raw dataset contains 3,113 images. |
| Images per class: |
| - Black Spot: 1,288 |
| - Dry Leaf: 324 |
| - Healthy Leaf: 818 |
| - Leaf Holes: 683 |
|
|
| The augmented dataset contains 10,000 images. |
| Images per class: |
| - Black Spot: 2,500 |
| - Dry Leaf: 2,500 |
| - Healthy Leaf: 2,500 |
| - Leaf Holes: 2,500 |
|
|
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| <!-- TODO: add BibTeX citation --> |
| ``` |
|
|
| <!-- TODO: add plain text citation --> |
|
|
| The dataset itself can be cited as: |
|
|
| Jinia, J. T., Rahman, M. S., Mojumdar, M. U., & Bijoy, M. H. I. (2025). *RoseLeafSet: Real-World Leaf Image Dataset for AI-Based Agricultural Solutions* [Dataset]. Mendeley Data. https://doi.org/10.17632/9G668BFHY5.3 |
|
|
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
|
|
