Fruits and Vegetable Classification using Tensorflow Keras. It has 36 differnet classes with 50+ traning images in each class.
Get the dataset from Kaggle. Downlaod
Step 1: Downlaod the data from Kaggle
Step 2: Create a Python Virtual Environment with Python Verison 3.12
Step 3: Install the packages from requirement.txt
Step 4: Run the classify.ipynb file.
Step 5: After the model is generated.
Step 6: Chagne the model name in app.py
Step 7: Put some test images in the folder
Step 8: Run the app using Streamlit
Haitomns G