hamzaezzine / Food-Recognition-GUI

Predict food (Fruits and Vegetables) images using Python

Food Recognition GUI

Food Recognition GUI

Food Recognition GUI using Python

Built With

• Python
• Jupyter Notebook
• Google Colab

Dataset

Fruits and Vegetables Image Recognition Dataset Source: Fruits and Vegetables Image Recognition Dataset

1. Context :
   the dataset contains images of the following food items:

• fruits: banana, apple, pear, grapes, orange, kiwi, watermelon, pomegranate, pineapple, mango.
• vegetables: cucumber, carrot, capsicum, onion, potato, lemon, tomato, raddish, beetroot, cabbage, lettuce, spinach, soy bean, cauliflower, bell pepper, chilli pepper, turnip, corn, sweetcorn, sweet potato, paprika, jalepeño, ginger, garlic, peas, eggplant.

2. Content :
   This dataset contains three folders:

• train (100 images each)
• test (10 images each)
• validation (10 images each)

Nutrition API

Nutrition API Source: Calorie Ninjas API

• Nutrition and recipe data for 100.000+ foods and beverages
• Free Plan gives 10.000 API calls/month
• Add your api in chartstest.py

Installation

1. Clone the repo

git clone https://github.com/hamzaezzine/Food-Recognition-GUI.git

2. Install the required dependencies:

pip install -r requirements.txt

Usage

Run the main python file

python main.py

Screenshots

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