ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line observed · 2026-08-28
Health v2 · maintenance only
63/100
- Activity 89
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3470
- days_rel: n/a
- days_push: 69
- n_releases_24m: 0
Adoption not part of the score
56684 stars · 13697 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Python library and command-line tool providing a simple API for face detection, facial landmark extraction, and face recognition, built on dlib's deep learning models. It achieves 99.38% accuracy on the Labeled Faces in the Wild benchmark.
Use cases
- find faces in photos
- identify who is in a picture
- detect facial landmarks like eyes and nose
- compare faces across images
- recognize people in a folder of images from the command line
- apply digital makeup to faces in photos
When to choose
- you need a simple, well-documented face recognition API in Python
- you want a CLI tool for batch face recognition on image folders
- you need facial landmark detection for image manipulation
- you want high accuracy without building your own model
When to avoid
- you need real-time video face recognition at scale
- you need GPU-accelerated performance for large workloads
- you need actively developed features or modern model architectures
- you need face recognition on mobile or embedded devices
Facets
library · maturity maintenance
computer-vision image-processing machine-learning cli computer-vision image-processing machine-learning developer-tools python cli cross-platform face-recognition face-detection facial-landmarks dlib deep-learning
2 sources
- readme: https://github.com/ageitgey/face_recognition · fetched 2026-08-28 · e886ea96caa8
- registry_pypi: https://pypi.org/pypi/face_recognition/json · fetched 2026-08-28 · 44cd036d4c8c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ageitgey/face_recognition | main | 63 |
For agents
markdown · JSON · MCP: product_card(name="ageitgey/face_recognition")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem