Kagami/go-face
:mag: Face recognition with Go observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3075
- days_rel: n/a
- days_push: 764
- n_releases_24m: 0
Adoption not part of the score
1192 stars · 185 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Go library that provides face recognition by wrapping dlib's machine learning models, including face detection, landmark prediction, and 128-dimensional face descriptor extraction. It requires external dlib and libjpeg development libraries plus pre-trained model files.
Use cases
- recognize faces in photos from Go
- detect and locate faces in images
- compare two face images for identity match
- cluster photos by person
- build a face login system in Go
When to choose
- you need face recognition in a Go application
- you want dlib's proven ResNet face models with a Go API
- you can install native dlib dependencies
When to avoid
- you need a pure-Go solution without native dependencies
- you need state-of-the-art accuracy from newer deep learning models
- your platform can't build dlib
Facets
library · maturity maintenance
machine-learning computer-vision image-processing computer-vision machine-learning image-processing windows go cpp face-recognition face-detection dlib facenet biometrics linux macos
1 source
- readme: https://github.com/Kagami/go-face · fetched 2026-08-28 · b2e8ca55b260
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Kagami/go-face | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem