Facial Blurring in the Media: A Comprehensive Investigation and Model Comparison
The protection of people's privacy and anonymity is crucial in today's data-driven environment. There has never been a greater demand for effective and dependable solutions to anonymize faces in multiple media formats, both for reasons of protecting personal identities and compliance with strict legislation like GDPR.
In this project, we investigate and contrast a number of face blurring solutions and create a web application that makes evaluation simple. Let's look at the various uses for such a system that are generating demand:
Maintaining Privacy
Navigating Regulatory Landscapes: As the regulatory environment changes quickly, businesses and regions all around the world are adopting stronger regulations to protect people's identities.
Training Data Privacy: Successful machine learning models
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