serengil/retinaface

Health v2 · maintenance only

Adoption not part of the score

2027 stars · 199 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

RetinaFace is a Python library for deep learning based face detection, built on TensorFlow and derived from the insightface project's RetinaFace detector. It returns facial area coordinates, confidence scores, and facial landmarks (eyes, nose, mouth), and supports face alignment for recognition pipelines.

Use cases

• detect faces in images with python
• find facial landmarks like eyes nose and mouth
• align faces before running face recognition
• detect faces in crowded photos
• get bounding boxes of faces in an image
• build a face recognition pipeline in python

When to choose

• you need accurate face detection with landmarks in Python
• you want a pip-installable TensorFlow reimplementation of RetinaFace
• you need face alignment as a preprocessing step for recognition

When to avoid

• you need real-time video face detection on low-power devices
• you need multi-framework support beyond TensorFlow
• you need full face recognition rather than detection

Facets

library · maturity active

computer-vision image-processing machine-learning deep-learning computer-vision image-processing artificial-intelligence deep-learning python cross-platform face-detection facial-landmarks face-alignment retinaface tensorflow insightface face-recognition

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