AsadiAhmad/Deep-Face-Blurring
Detecting and anonymizing human faces in images using deep learning models (YuNet) and OpenCV.
This tool helps you automatically protect people's privacy in images by blurring out their faces. You provide images containing faces, and it outputs new versions of those images with all detected faces anonymized. It's ideal for anyone handling sensitive visual data, like a data scientist preparing a dataset or a social media manager sharing public images.
No commits in the last 6 months.
Use this if you need to quickly and automatically anonymize faces in a collection of images for privacy protection or compliance.
Not ideal if you need to selectively blur specific faces while keeping others clear, or if you require advanced anonymization techniques beyond simple blurring.
Stars
8
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/AsadiAhmad/Deep-Face-Blurring"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
cheind/dest
:panda_face: One Millisecond Deformable Shape Tracking Library (DEST)
1adrianb/binary-face-alignment
Real time face alignment
guoqiangqi/PFLD
Implementation of PFLD A Practical Facial Landmark Detector , reference to ...
Aditya-Khadilkar/Face-tracking-with-Anime-characters
Hello! I have made a Python project where YURI from the game doki doki literature club accesses...
mrgloom/Face-landmarks-detection-benchmark
Face landmarks(fiducial points) detection benchmark