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Passion Fruit Disease Detection

I tried to create an accurate machine learning models capable of localizing and identifying multiple Passion Fruits in a single image, and classify the disease status of those fruits. For this task, i used Faster-Rcnn to detect the fruits, and Streamlit to create a web app for this task. This model is quite successful knowing that creating accurate machine learning models capable of localizing and identifying multiple objects in a single image remains a core challenge in computer vision.

Model Training:

kaggle Model Training

Wep App:

slt Passion Fruit Disease Detection  

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Classify the disease status of a plant given an image of a passion fruit

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