Face-Mask-Classification

This repository contains a Streamlit application for classifying face masks based on user image uploads. The prediction is made using a pre-trained deep learning model.

Deployment

Link deployment for public: https://face-mask-classification-by-ika.streamlit.app/

Contents

• app.py: The main Streamlit application script.
• mask_classifier.h5: The trained deep learning model used for classification.
• Face_Mask_Classification-Ika_Nurfitriani.ipynb: A Jupyter Notebook used for model training and evaluation.
• requirements.txt: To specify the Python packages and their versions that are required to run application.

Installation

To run this application, you'll need to have Python installed along with the necessary libraries. Ensure you have the following libraries installed:

• streamlit
• numpy
• tensorflow
• others

You can install these libraries using the following command:

pip install -r requirements.txt

Ensure that you have the following files in your working directory:

• app.py
• mask_classifier.h5
• Face_Mask_Classification-Ika_Nurfitriani.ipynb
• requirements.txt

Running the Application

To start the Streamlit application, use the following command:

streamlit run app.py

This will launch the application locally. Open the provided URL in your web browser to interact with the face mask classification.

Usage

1. User Input: Upload image
2. Prediction: After uploading the image, the prediction result will show.

Screen Capture

The following is a screen capture from the Face Mack Classification App:

• SS1

• SS2

Author

@Ika Nurfitriani