Face Mask Detection Deep Learning model using YOLOv7

**Problem:** YOLOv7 is 509% faster and Amidst the COVID-19 outbreak in India, with a surge in confirmed cases, the government continues to appeal for universal mask usage which aligns with the World Health Organization (WHO) directives to mitigate the virus’s spread.

**Solution:** A Deep Learning model for Face Mask Detection that would serve to identify whether the individuals
in an image or video frame are wearing a mask or not, or wearing it incorrectly.

**Approach:** We would be configuring and training a YOLOv7-based Deep Learning model using Python,
evaluating its performance metrics with accuracy curve, precision recall curve, f1-score, etc that would show the accuracy of the model. Then provide video and image input that would detect 3 instances - people wearing masks, not wearing, & people wearing incorrectly.

**Importance:** By integrating these models into security and surveillance systems or monitoring
applications, the model will be able to swiftly detect and flag instances of non-compliance
with mask-wearing guidelines. This enables proactive measures to be taken promptly,
reinforcing safety protocols and ensuring adherence to established regulations to safeguard
public health effectively.