PlantLeafDefects

This project is based in Plant Leaf Disease and has 36 different types of fruit plant leaf diseases. The model used for this project is MobileNet pre-trained network and the app is deployed on streamlit cloud The active link for the app : https://plantleafdefects-b9nqjqhw4mycw6b4ifwsyj.streamlit.app
The leaf disease categories on which the model is trained on are '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', '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' as the kaggle dataset