| --- |
| dataset_info: |
| - config_name: augmented |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Apple___Apple_scab |
| '1': Apple___Black_rot |
| '2': Apple___Cedar_apple_rust |
| '3': Apple___healthy |
| '4': Background_without_leaves |
| '5': Blueberry___healthy |
| '6': Cherry___Powdery_mildew |
| '7': Cherry___healthy |
| '8': Corn___Cercospora_leaf_spot Gray_leaf_spot |
| '9': Corn___Common_rust |
| '10': Corn___Northern_Leaf_Blight |
| '11': Corn___healthy |
| '12': Grape___Black_rot |
| '13': Grape___Esca_(Black_Measles) |
| '14': Grape___Leaf_blight_(Isariopsis_Leaf_Spot) |
| '15': Grape___healthy |
| '16': Orange___Haunglongbing_(Citrus_greening) |
| '17': Peach___Bacterial_spot |
| '18': Peach___healthy |
| '19': Pepper,_bell___Bacterial_spot |
| '20': Pepper,_bell___healthy |
| '21': Potato___Early_blight |
| '22': Potato___Late_blight |
| '23': Potato___healthy |
| '24': Raspberry___healthy |
| '25': Soybean___healthy |
| '26': Squash___Powdery_mildew |
| '27': Strawberry___Leaf_scorch |
| '28': Strawberry___healthy |
| '29': Tomato___Bacterial_spot |
| '30': Tomato___Early_blight |
| '31': Tomato___Late_blight |
| '32': Tomato___Leaf_Mold |
| '33': Tomato___Septoria_leaf_spot |
| '34': Tomato___Spider_mites Two-spotted_spider_mite |
| '35': Tomato___Target_Spot |
| '36': Tomato___Tomato_Yellow_Leaf_Curl_Virus |
| '37': Tomato___Tomato_mosaic_virus |
| '38': Tomato___healthy |
| splits: |
| - name: train |
| num_bytes: 943149189 |
| num_examples: 61486 |
| download_size: 943901022 |
| dataset_size: 943149189 |
| - config_name: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Apple___Apple_scab |
| '1': Apple___Black_rot |
| '2': Apple___Cedar_apple_rust |
| '3': Apple___healthy |
| '4': Background_without_leaves |
| '5': Blueberry___healthy |
| '6': Cherry___Powdery_mildew |
| '7': Cherry___healthy |
| '8': Corn___Cercospora_leaf_spot Gray_leaf_spot |
| '9': Corn___Common_rust |
| '10': Corn___Northern_Leaf_Blight |
| '11': Corn___healthy |
| '12': Grape___Black_rot |
| '13': Grape___Esca_(Black_Measles) |
| '14': Grape___Leaf_blight_(Isariopsis_Leaf_Spot) |
| '15': Grape___healthy |
| '16': Orange___Haunglongbing_(Citrus_greening) |
| '17': Peach___Bacterial_spot |
| '18': Peach___healthy |
| '19': Pepper,_bell___Bacterial_spot |
| '20': Pepper,_bell___healthy |
| '21': Potato___Early_blight |
| '22': Potato___Late_blight |
| '23': Potato___healthy |
| '24': Raspberry___healthy |
| '25': Soybean___healthy |
| '26': Squash___Powdery_mildew |
| '27': Strawberry___Leaf_scorch |
| '28': Strawberry___healthy |
| '29': Tomato___Bacterial_spot |
| '30': Tomato___Early_blight |
| '31': Tomato___Late_blight |
| '32': Tomato___Leaf_Mold |
| '33': Tomato___Septoria_leaf_spot |
| '34': Tomato___Spider_mites Two-spotted_spider_mite |
| '35': Tomato___Target_Spot |
| '36': Tomato___Tomato_Yellow_Leaf_Curl_Virus |
| '37': Tomato___Tomato_mosaic_virus |
| '38': Tomato___healthy |
| splits: |
| - name: train |
| num_bytes: 862208169 |
| num_examples: 55448 |
| download_size: 862897905 |
| dataset_size: 862208169 |
| configs: |
| - config_name: augmented |
| data_files: |
| - split: train |
| path: augmented/train-* |
| - config_name: raw |
| data_files: |
| - split: train |
| path: raw/train-* |
| default: true |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 10K<n<100K |
| --- |
| # Plant Leaf Diseases Dataset Classification |
|
|
| This dataset provides real RGB images of sweet potato leaves affected by various diseases, captured in a controlled laboratory environment in Tainan, Taiwan. Images were acquired using Fujifilm GFX100s and X100F cameras, offering high-resolution visual data for agricultural disease detection research. The dataset contains raw and augmented versions. |
| The raw dataset contains 55,448 images. |
| Images per class: |
| - Apple___Apple_scab: 630 |
| - Apple___Black_rot: 621 |
| - Apple___Cedar_apple_rust: 275 |
| - Apple___healthy: 1,645 |
| - Background_without_leaves: 1,143 |
| - Blueberry___healthy: 1,502 |
| - Cherry___Powdery_mildew: 1,052 |
| - Cherry___healthy: 854 |
| - Corn___Cercospora_leaf_spot Gray_leaf_spot: 513 |
| - Corn___Common_rust: 1,192 |
| - Corn___Northern_Leaf_Blight: 985 |
| - Corn___healthy: 1,162 |
| - Grape___Black_rot: 1,180 |
| - Grape___Esca_(Black_Measles): 1,383 |
| - Grape___Leaf_blight_(Isariopsis_Leaf_Spot): 1,076 |
| - Grape___healthy: 423 |
| - Orange___Haunglongbing_(Citrus_greening): 5,507 |
| - Peach___Bacterial_spot: 2,297 |
| - Peach___healthy: 360 |
| - Pepper,_bell___Bacterial_spot: 997 |
| - Pepper,_bell___healthy: 1,478 |
| - Potato___Early_blight: 1,000 |
| - Potato___Late_blight: 1,000 |
| - Potato___healthy: 152 |
| - Raspberry___healthy: 371 |
| - Soybean___healthy: 5,090 |
| - Squash___Powdery_mildew: 1,835 |
| - Strawberry___Leaf_scorch: 1,109 |
| - Strawberry___healthy: 456 |
| - Tomato___Bacterial_spot: 2,127 |
| - Tomato___Early_blight: 1,000 |
| - Tomato___Late_blight: 1,909 |
| - Tomato___Leaf_Mold: 952 |
| - Tomato___Septoria_leaf_spot: 1,771 |
| - Tomato___Spider_mites Two-spotted_spider_mite: 1,676 |
| - Tomato___Target_Spot: 1,404 |
| - Tomato___Tomato_Yellow_Leaf_Curl_Virus: 5,357 |
| - Tomato___Tomato_mosaic_virus: 373 |
| - Tomato___healthy: 1,591 |
|
|
| The augmented dataset contains 61,486 images. |
| Images per class: |
| - Apple___Apple_scab: 1,000 |
| - Apple___Black_rot: 1,000 |
| - Apple___Cedar_apple_rust: 1,000 |
| - Apple___healthy: 1,645 |
| - Background_without_leaves: 1,143 |
| - Blueberry___healthy: 1,502 |
| - Cherry___Powdery_mildew: 1,052 |
| - Cherry___healthy: 1,000 |
| - Corn___Cercospora_leaf_spot Gray_leaf_spot: 1,000 |
| - Corn___Common_rust: 1,192 |
| - Corn___Northern_Leaf_Blight: 1,000 |
| - Corn___healthy: 1,162 |
| - Grape___Black_rot: 1,180 |
| - Grape___Esca_(Black_Measles): 1,383 |
| - Grape___Leaf_blight_(Isariopsis_Leaf_Spot): 1,076 |
| - Grape___healthy: 1,000 |
| - Orange___Haunglongbing_(Citrus_greening): 5,507 |
| - Peach___Bacterial_spot: 2,297 |
| - Peach___healthy: 1,000 |
| - Pepper,_bell___Bacterial_spot: 1,000 |
| - Pepper,_bell___healthy: 1,478 |
| - Potato___Early_blight: 1,000 |
| - Potato___Late_blight: 1,000 |
| - Potato___healthy: 1,000 |
| - Raspberry___healthy: 1,000 |
| - Soybean___healthy: 5,090 |
| - Squash___Powdery_mildew: 1,835 |
| - Strawberry___Leaf_scorch: 1,109 |
| - Strawberry___healthy: 1,000 |
| - Tomato___Bacterial_spot: 2,127 |
| - Tomato___Early_blight: 1,000 |
| - Tomato___Late_blight: 1,909 |
| - Tomato___Leaf_Mold: 1,000 |
| - Tomato___Septoria_leaf_spot: 1,771 |
| - Tomato___Spider_mites Two-spotted_spider_mite: 1,676 |
| - Tomato___Target_Spot: 1,404 |
| - Tomato___Tomato_Yellow_Leaf_Curl_Virus: 5,357 |
| - Tomato___Tomato_mosaic_virus: 1,000 |
| - Tomato___healthy: 1,591 |
|
|
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{yang2026label, |
| title={Label-Free Deep Learning with Feature Adaptation for Crop Anomaly Detection on Small Datasets}, |
| author={Yang, Ming-Der and Lee, Tzu-Han and Tseng, Hsin-Hung and Su, Tung-Ching and Hsu, Yu-Chun}, |
| journal={Agriculture}, |
| volume={16}, |
| pages={854}, |
| year={2026}, |
| publisher={MDPI} |
| } |
| ``` |
|
|
|
|
| The dataset itself can be cited as: |
|
|
| J, A. R. U. N. P. A. N. D. I. A. N. (2019). *Data for: Identification of Plant Leaf Diseases Using a 9-layer Deep Convolutional Neural Network* [Dataset]. Mendeley. https://doi.org/10.17632/TYWBTSJRJV.1 |
|
|
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
|
|
