- The .ipynb file contains the complete code from loading the images to training,evaluation and prediction of the model.
- The code has has been written using PyTorch framework.
Pepper, Grape, Tomato, Squash, Corn, Apple, Potato, Raspberry, Strawberry, Cherry, Soybean, Blueberry, Orange, Peach
- 'Apple___Apple_scab', 'Apple___Black_rot', 'Apple___Cedar_apple_rust', 'Apple___healthy'
- 'Blueberry___healthy'
- 'Cherry_(including_sour)__Powdery_mildew', 'Cherry(including_sour)___healthy'
- 'Corn_(maize)__Cercospora_leaf_spot Gray_leaf_spot', 'Corn(maize)_Common_rust', 'Corn(maize)__Northern_Leaf_Blight','Corn(maize)___healthy',
- 'Grape___Black_rot', 'Grape___Esca_(Black_Measles)', 'Grape___Leaf_blight_(Isariopsis_Leaf_Spot)', 'Grape___healthy'
- 'Orange___Haunglongbing_(Citrus_greening)'
- 'Peach___Bacterial_spot', 'Peach___healthy'
- 'Pepper,_bell___Bacterial_spot', 'Pepper,_bell___healthy',
- 'Potato___Early_blight', 'Potato___Late_blight', 'Potato___healthy'
- 'Raspberry___healthy'
- 'Soybean___healthy'
- 'Squash___Powdery_mildew'
- 'Strawberry___Leaf_scorch', 'Strawberry___healthy',
- 'Tomato___Bacterial_spot', 'Tomato___Early_blight', 'Tomato___Late_blight', 'Tomato___Leaf_Mold','Tomato___Septoria_leaf_spot', 'Tomato___Spider_mites Two-spotted_spider_mite', 'Tomato___Target_Spot', 'Tomato___Tomato_Yellow_Leaf_Curl_Virus', 'Tomato___Tomato_mosaic_virus', 'Tomato___healthy'