| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: int64 |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: float64 |
| - name: categories |
| list: int64 |
| splits: |
| - name: train |
| num_bytes: 119580865 |
| num_examples: 1050 |
| download_size: 118561065 |
| dataset_size: 119580865 |
| --- |
| |
| # Papaya Leaf Disease Detection |
|
|
| A dataset for disease detection of Papaya leaves. The dataset contains 1,050 images with 7,616 bounding box annotations across 5 categories. |
| The dataset can be used as a classification dataset based on the label column, which contains integer based labels for the following classes: |
| Anthracnose: 0 |
| Bacterial Spot: 1 |
| Curl: 2 |
| Ring Spot: 3 |
| Healthy: 4 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{mustofa2024bdpapayaleaf, |
| title={BDPapayaLeaf: A dataset of papaya leaf for disease detection, classification, and analysis}, |
| author={Mustofa, Sumaya and Ahad, Md Taimur and Emon, Yousuf Rayhan and Sarker, Arpita}, |
| journal={Data in Brief}, |
| volume={57}, |
| pages={110910}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Sarker, Arpita ; Mustofa, Sumaya; Ahad, Md Taimur (2024), “BDPapayaLeaf: A annotation based image dataset of papaya leaf disease.”, Mendeley Data, V2, doi: 10.17632/p997fvf526.2 |
