This repository contains code archives for Face Mask Classification with Deep Learning
MIT License
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.
Link deployment for public: https://face-mask-classification-by-ika.streamlit.app/
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.To run this application, you'll need to have Python installed along with the necessary libraries. Ensure you have the following libraries installed:
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
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.
The following is a screen capture from the Face Mack Classification App:
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