| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Apple Scab Leaf |
| '1': Apple leaf |
| '2': Apple rust leaf |
| '3': Bell_pepper leaf |
| '4': Bell_pepper leaf spot |
| '5': Blueberry leaf |
| '6': Cherry leaf |
| '7': Corn Gray leaf spot |
| '8': Corn leaf blight |
| '9': Corn rust leaf |
| '10': Peach leaf |
| '11': Potato leaf early blight |
| '12': Potato leaf late blight |
| '13': Raspberry leaf |
| '14': Soyabean leaf |
| '15': Squash Powdery mildew leaf |
| '16': Strawberry leaf |
| '17': Tomato Early blight leaf |
| '18': Tomato Septoria leaf spot |
| '19': Tomato leaf |
| '20': Tomato leaf bacterial spot |
| '21': Tomato leaf late blight |
| '22': Tomato leaf mosaic virus |
| '23': Tomato leaf yellow virus |
| '24': Tomato mold leaf |
| '25': Tomato two spotted spider mites leaf |
| '26': grape leaf |
| '27': grape leaf black rot |
| splits: |
| - name: train |
| num_bytes: 870747799 |
| num_examples: 2569 |
| download_size: 993536349 |
| dataset_size: 870747799 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-sa-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Plant Doc Classification |
|
|
| A dataset for disease classification of various plants. The dataset contains 2,569 images across 28 classes: |
| Images per class: |
| - Apple Scab Leaf: 93 |
| - Apple leaf: 91 |
| - Apple rust leaf: 88 |
| - Bell_pepper leaf: 61 |
| - Bell_pepper leaf spot: 71 |
| - Blueberry leaf: 114 |
| - Cherry leaf: 57 |
| - Corn Gray leaf spot: 68 |
| - Corn leaf blight: 191 |
| - Corn rust leaf: 116 |
| - Peach leaf: 111 |
| - Potato leaf early blight: 116 |
| - Potato leaf late blight: 105 |
| - Raspberry leaf: 119 |
| - Soyabean leaf: 65 |
| - Squash Powdery mildew leaf: 130 |
| - Strawberry leaf: 96 |
| - Tomato Early blight leaf: 88 |
| - Tomato Septoria leaf spot: 150 |
| - Tomato leaf: 63 |
| - Tomato leaf bacterial spot: 110 |
| - Tomato leaf late blight: 111 |
| - Tomato leaf mosaic virus: 54 |
| - Tomato leaf yellow virus: 75 |
| - Tomato mold leaf: 91 |
| - Tomato two spotted spider mites leaf: 2 |
| - grape leaf: 69 |
| - grape leaf black rot: 64 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{10.1145/3371158.3371196, |
| author = {Singh, Davinder and Jain, Naman and Jain, Pranjali and Kayal, Pratik and Kumawat, Sudhakar and Batra, Nipun}, |
| title = {PlantDoc: A Dataset for Visual Plant Disease Detection}, |
| year = {2020}, |
| isbn = {9781450377386}, |
| publisher = {Association for Computing Machinery}, |
| url = {https://doi.org/10.1145/3371158.3371196}, |
| doi = {10.1145/3371158.3371196}, |
| booktitle = {Proceedings of the 7th ACM IKDD CoDS and 25th COMAD}, |
| pages = {249–253}, |
| numpages = {5}, |
| series = {CoDS COMAD 2020} |
| } |
| ``` |
|
|
| https://github.com/pratikkayal/PlantDoc-Dataset |
