/Face-Mask-Detection-with-YOLOv8-OpenCV-and-Streamlit

Face Mask Detection with YOLOv8, OpenCV and Streamlit

Primary LanguageJupyter Notebook

Face Mask Detection with YOLOv8, OpenCV and Streamlit

Computer Vision Face Mask Detection Project with YOLOv8, OpenCV and Streamlit

The Face Mask Detection Model was trained using the YOLOv8 Architecture, the Google Colab GPU and with over 2600 Face Mask Images. The U.I. was built with Streamlit. It can be test it with uploading a Picture, Video, or in Real Time Detection.

Run it Locally

Test it Locally by running the app.py file, built with Streamlit. Remember first to install all the requirements needed in the requirements.txt file.

App made with Streamlit

streamlit run app.py

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