pterhoer/FaceImageQuality
Code and information for face image quality assessment with SER-FIQ
This tool helps improve the accuracy of face recognition systems by assessing the quality of face images. It takes a face image as input and outputs a normalized quality score, indicating how suitable that image is for recognition. Security system administrators, forensic analysts, or anyone managing large datasets for identity verification would use this.
577 stars. No commits in the last 6 months.
Use this if you need to automatically filter or prioritize face images to ensure the highest accuracy for your face recognition system.
Not ideal if you require explainable, pixel-level quality assessment or want to integrate quality information directly into the face recognition training process itself.
Stars
577
Forks
90
Language
Python
License
—
Category
Last pushed
Dec 09, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/pterhoer/FaceImageQuality"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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