# Kagami/go-face

:mag: Face recognition with Go

Repository: https://github.com/Kagami/go-face
Canonical: https://ross.abutalabs.com/products/go-face
Language: Go
License: CC0-1.0
License Family: permissive
Topics: golang, face-recognition, dlib
Last push: 2024-07-30T07:06:41+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3075, "days_push": 764, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1192, forks 185 (observed 2026-08-28T04:03:56.265746+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: machine-learning, computer-vision, image-processing
- domain: computer-vision, machine-learning, image-processing
- platform: windows, go, cpp
- tags: face-recognition, face-detection, dlib, facenet, biometrics, linux, macos

## Member repositories
- Kagami/go-face (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.265746+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:22:27.470268+00:00, confidence not recorded.
  - readme: https://github.com/Kagami/go-face (fetched 2026-08-28T04:03:56.265746+00:00, sha b2e8ca55b260)
- Data as of 2026-08-30T08:39:29.467469+00:00.