MaskFaceDataset Computer Vision Project

Here are a few use cases for this project:

1. Pandemic Compliance Monitoring: This model could be used by public health organizations, businesses, or educational institutions to monitor compliance with mask-wearing regulations in spaces such as public transport, retail stores, or classrooms. By identifying faces without masks or incorrect mask usage, it can help ensure adherence to safety measures.

2. Public Sentiment Analysis: Research entities or public health officials could use this model to analyze public spaces or social media images to study the adherence to mask guidelines across different regions or demographics, contributing to policy planning.

3. Mask Detection in Real-Time Surveillance: The model could be incorporated into CCTV systems in sensitive areas such as hospitals, health clinics or areas of high human density for real-time detection of individuals not wearing masks or wearing them incorrectly, alerting security or management when needed.

4. Industrial Safety Compliance: In industries where mask or respiratory protection wearing is mandatory, this model could monitor employees for compliance to mask-wearing regulations, contributing to the safety and health of the workers.

5. Face Mask Advertising Efficacy: Companies manufacturing face masks could employ this model to analyze the effectiveness of advertising by assessing mask usage in public before and after campaigns.