How to Anonymize Faces in Images with Deep Learning and Computer Vision

Author(s): Edwin Tan

Originally published on Towards AI.

Photo by Alexandra Gorn on Unsplash

Face blurring is a technique used to anonymize the identity of a person in an image or video by pixelating or covering the face with a blur effect. This is often done to protect the privacy of individuals who may appear in the media, especially in situations where they may not have given their consent to be photographed or recorded.

Conventionally, face blurring is done manually using image editing software. The process involves a human editor who makes adjustments to the size and shape of the blurring brush that is needed to cover the face and… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI