Produce Quantity and Quality Estimation Using Computer Vision

_ Because there is inaccuracy in produce estimation and its tedious to scan a large farm/orchards which may span many acres, there is a need to have an automated produce quantity and quality estimator to do this work for you __

specs: built on python3.11.6 on windows 10.

setup: pip install -r requirements.txt

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Training

To train the fruit ripeness classifier, run the cells in core/fruit_classifier.ipynb to make the model.
To train the yolo model to detect apple bounding boxes, run the cells in core/YOLO_Apple_Detector.ipynb

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Usage

To run, simply change to the current directory of the project, and run the following code :
python -m streamlit run app.py