3 years ago

Category: Software, Jenkins, github

Since the general public is getting back on the streets and employees going back to their workplaces, it is extremely important for everyone to adorn face-masks as suggested by WHO, to keep themselves and others safe.

In this project, a face mask detection model that can accurately detect whether a person is wearing a mask or not is implemented to detect face masks in static images as well as in real-time video streams. In this model we have used 2K+ images for training the model and 500+ images for testing.

STEP 2 : Images with mask and without mask are labelled and dataset is divided into training set and testing set.

After this we give our live images to the model which predicts whether the person is wearing mask or not.