kalashvasaniya/Vegetable-Fruit-detection

The code is designed to work in a typical shopping scenario where the vegetables are displayed on a table. The goal is to streamline the shopping process, reduce waste by buying only the necessary quantities, and enhance the user’s shopping experience.

#DATATHON 2.0 To execute the code, follow these steps:

1. Obtain the dataset from Kaggle by visiting https://www.kaggle.com/datasets/kritikseth/fruit-and-vegetable-image-recognition?resource=download
2. Clone this repository.
3. Install all the necessary modules.
4. Run the "Training_fruit_vegetable.ipynb" and "testingModel.ipynb" files.
5. Include any fruit or vegetable photo in the test file and compare the result.

TEAM.TRAINERS.ROUND-2-PPT.mp4