seathiefwang/FaceRecognition-tensorflow
基于TensorFlow训练的人脸识别神经网络 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
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: 3409
- days_rel: n/a
- days_push: 2815
- n_releases_24m: 0
Adoption not part of the score
1403 stars · 408 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A face recognition neural network trained with TensorFlow, implemented in Python. It provides a model for identifying faces in images using deep learning.
Use cases
- recognize faces in images
- train a face recognition model with tensorflow
- build a facial identification system
- learn how face recognition neural networks work
- detect and identify people from photos
When to choose
- you want a simple TensorFlow-based face recognition model to study or adapt
- you need a lightweight Python example of facial recognition
When to avoid
- you need a maintained, production-grade face recognition system
- you need a license permitting commercial use
- you need support for modern TensorFlow versions
Facets
library · maturity abandoned
machine-learning deep-learning computer-vision image-processing machine-learning computer-vision image-processing python face-recognition tensorflow neural-network facial-identification
1 source
- readme: https://github.com/seathiefwang/FaceRecognition-tensorflow · fetched 2026-08-28 · 4c9c2d7198fe
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| seathiefwang/FaceRecognition-tensorflow | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="seathiefwang/FaceRecognition-tensorflow")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem