Plant Disease Detector
Created by Shubham Kumar
Plant-Disease-Detector
Visit:TowardsDataScience
My Article inTraining and evaluating state-of-the-art deep architectures for plant disease classification task using pyTorch.
Models are trained on the preprocessed dataset which can be downloaded here.
Dataset is consisted of 38 disease classes from PlantVillage dataset and 1 background class from Stanford's open dataset of background images - DAGS.
80% of the dataset is used for training and 20% for validation.
Configuration
Model | Library | Training Platform | Accuracy |
---|---|---|---|
Resnet34 | Fastai | Google Cloud Platform | 99.654% |
Dataset Description:
Name | No of Classes | Class Names |
---|---|---|
Apple | 04 | 'Apple___Apple_scab','Apple___Black_rot','Apple___Cedar_apple_rust' 'Apple___healthy' |
Blueberry | 01 | 'Blueberry___healthy' |
Cherry | 02 | 'Cherry_(including_sour)Powdery_mildew', 'Cherry(including_sour)_healthy' |
Corn | 04 | 'Corn___Cercospora_leaf_spot', 'Corn___Common_rust','Corn___Northern_Leaf_Blight','Corn___healthy' |
Grape | 04 | 'Grape___Black_rot','Grape___Esca_(Black_Measles)','Leaf_blight_(Isariopsis_Leaf_Spot)','Grape___healthy' |
Orange | 01 | 'Orange___Haunglongbing_(Citrus_greening)' |
Peach | 02 | 'Peach___Bacterial_spot','Peach___healthy' |
Pepper | 02 | 'Pepper,_bell___Bacterial_spot','Pepper,_bell___healthy' |
Potato | 03 | 'Potato___Early_blight','Potato___Late_blight','Potato___healthy' |
Raspberry | 01 | 'Raspberry___healthy' |
Soyabean | 01 | 'Soybean___healthy' |
Squash | 01 | 'Squash___Powdery_mildew' |
Strawberry | 02 | 'Strawberry___Leaf_scorch','Strawberry___healthy' |
Tomato | 10 | Tomato: 'Bacterial_spot','Early_blight', 'Late_blight', 'Leaf_Mold', 'Septoria_leaf_spot', 'Spider_mites','Target_Spot', 'Yellow_Leaf_Curl_Virus', 'Mosaic_virus', 'Healthy' |