| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Anthracnose |
| '1': Anthracnose lesions |
| '2': Black Rot |
| '3': Downey mildew |
| '4': Downy mildew |
| '5': Eggplant Cercopora leaf spot |
| '6': Eggplant begomovirus |
| '7': Eggplant fresh leaf |
| '8': Eggplant verticillium wilt |
| '9': Fresh leaf |
| '10': Fusarium wilt |
| '11': Mosaic virus |
| '12': Tomato Bacterial spot |
| '13': Tomato Fresh leaf |
| '14': Tomato leaf curl virus |
| '15': Tomato spotted wilt |
| - name: plant_type |
| dtype: |
| class_label: |
| names: |
| '0': Bitter Gourd |
| '1': Bottle gourd |
| '2': Cauliflower |
| '3': Cucumber |
| '4': Eggplant |
| '5': Tomato |
| splits: |
| - name: train |
| num_bytes: 812512223 |
| num_examples: 12786 |
| download_size: 958168710 |
| dataset_size: 812512223 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Plant Leaf Disease Classification |
|
|
| A dataset for disease classification of leaves from Bitter Gourd, Bottle Gourd, Tomato, Eggplant, Cauliflower, and Cucumber. The dataset contains 12,786 images across 16 classes: |
| Images per class: |
| - Anthracnose: 601 |
| - Anthracnose lesions: 535 |
| - Black Rot: 560 |
| - Downey mildew: 1,254 |
| - Downy mildew: 1,076 |
| - Eggplant Cercopora leaf spot: 723 |
| - Eggplant begomovirus: 720 |
| - Eggplant fresh leaf: 771 |
| - Eggplant verticillium wilt: 730 |
| - Fresh leaf: 2,122 |
| - Fusarium wilt: 502 |
| - Mosaic virus: 600 |
| - Tomato Bacterial spot: 589 |
| - Tomato Fresh leaf: 594 |
| - Tomato leaf curl virus: 755 |
| - Tomato spotted wilt: 654 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{hasan2024comprehensive, |
| title={Comprehensive smart smartphone image dataset for plant leaf disease detection and freshness assessment from Bangladesh vegetable fields}, |
| author={Hasan, Mahamudul and Gani, Raiyan and Rashid, Mohammad Rifat Ahmmad and Tarin, Taslima Khan and Kamara, Raka and Mou, Mahbuba Yasmin and Rabbi, Sheikh Fajlay}, |
| journal={Data in Brief}, |
| volume={56}, |
| pages={110775}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Rashid, Mohammad Rifat Ahmmad; Tarin, Taslima Khan ; Kamara, Raka ; Mou, Mahbuba Yasmin ; Rabbi, Sheikh Fajlay ; Hasan, Mahamudul (2024), “Plant Leaf Freshness and Disease Detection Dataset From Bangladesh”, Mendeley Data, V3, doi: 10.17632/n67gctmjyj.3 |
