| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Bacterial_Leaf_Disease |
| '1': Dried_Leaf |
| '2': Fungal_Brown_Spot_Disease |
| '3': Healthy_Leaf |
| splits: |
| - name: train |
| num_bytes: 6476375318 |
| num_examples: 3589 |
| download_size: 6067102967 |
| dataset_size: 6476375318 |
| 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 |
| --- |
| # Betel Leaf Disease Classification |
|
|
| A dataset for image classification of Betel Leaf Disease Classification. The dataset contains 3,589 images across 4 classes: Bacterial_Leaf_Disease, Dried_Leaf, Fungal_Brown_Spot_Disease, Healthy_Leaf. |
| Images per class: |
| - Bacterial_Leaf_Disease: 906 |
| - Dried_Leaf: 898 |
| - Fungal_Brown_Spot_Disease: 892 |
| - Healthy_Leaf: 893 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
| Rashid, Mohammad Rifat Ahmmad; Hossain, Md. Miskat ; Biswas, Joy ; Majumder, Hredoy (2024), “Betel Leaf Image Dataset from Bangladesh”, Mendeley Data, V2, doi: 10.17632/g7fpgj57wc.2 |
