| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: int64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': Corn leaf blight |
| '1': Tomato Early blight leaf |
| '2': Potato leaf early blight |
| '3': Potato leaf late blight |
| '4': Blueberry leaf |
| '5': grape leaf black rot |
| '6': Bell_pepper leaf spot |
| '7': Cherry leaf |
| '8': Peach leaf |
| '9': Soyabean leaf |
| '10': Strawberry leaf |
| '11': Apple Scab Leaf |
| '12': Corn rust leaf |
| '13': Apple leaf |
| '14': Corn Gray leaf spot |
| '15': Tomato leaf mosaic virus |
| '16': Tomato mold leaf |
| '17': Tomato leaf yellow virus |
| '18': Tomato leaf bacterial spot |
| '19': Tomato leaf late blight |
| '20': Squash Powdery mildew leaf |
| '21': Bell_pepper leaf |
| '22': grape leaf |
| '23': Apple rust leaf |
| '24': Tomato Septoria leaf spot |
| '25': Tomato leaf |
| '26': Raspberry leaf |
| '27': Potato leaf |
| '28': Tomato two spotted spider mites leaf |
| splits: |
| - name: train |
| num_bytes: 1027346536 |
| num_examples: 2346 |
| download_size: 975874080 |
| dataset_size: 1027346536 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| # Plant Doc Detection |
|
|
| A dataset for object detection of various plant leaf diseases. The dataset contains 2,346 images with 8,435 bounding box annotations across 29 categories. |
|
|
| 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}, |
| series = {CoDS COMAD 2020} |
| } |
| ``` |
