FoodEye

Are you worried about what's on your plate? Worry no more with FoodEye, an application designed to analyze and classify food items using PyTorch.

About

FoodEye is an innovative application aimed at providing accurate food classification to help users identify various food items on their plates. This application leverages the EfficientNet-B2 model for robust image classification.

Model

The model used in this application is EfficientNet-B2, a powerful and efficient deep learning model for image classification. The pre-trained model weights are stored in effnetb2_model.pth.

Try out the Application

To try the application, go to FoodEye on Hugging Face.

Getting Started

To get started with FoodEye, follow these steps:

1. Clone the repository:

git clone https://github.com/NishchalRavish/FoodEye.git

2. Create a virtual environment and activate it:

python3 -m venv venv
source venv/bin activate

3. Install the required dependencies:

pip install -r requirements.txt

4. Run the application:

python app.py