# javier-hernandezo/FaceQnet

<https://repo.masters-masters.com/en/repos/javier-hernandezo/FaceQnet>

[Home](https://repo.masters-masters.com/en) › [javier-hernandezo](https://repo.masters-masters.com/en/owners/javier-hernandezo) › [FaceQnet](https://repo.masters-masters.com/en/repos/javier-hernandezo/FaceQnet)

javier-hernandezo/FaceQnet has 264 stars on GitHub. Its RepoMasters card: Alpha tier. FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

| Field | Value |
| --- | --- |
| Owner | [javier-hernandezo](https://repo.masters-masters.com/en/owners/javier-hernandezo) |
| Stars | 264 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [javier-hernandezo/FaceQnet](https://github.com/javier-hernandezo/FaceQnet) |

## Repository

FaceQnet: Quality Assessment for Face Recognition based on Deep Learning

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## Nearby in Python

- [Quchaosheng/workbench-mobile-home-robot · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/Quchaosheng/workbench-mobile-home-robot)
- [yichengup/ComfyUI-YCNodes-MiniMax-H3 · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/yichengup/ComfyUI-YCNodes-MiniMax-H3)
- [mike-vops93s1/Valorant-ESP-Advanced-Player-Visual-Overlay-2026 · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/mike-vops93s1/Valorant-ESP-Advanced-Player-Visual-Overlay-2026)
- [bartTC/django-memcache-status · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/bartTC/django-memcache-status)
- [nipy/nitime · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/nipy/nitime)
- [Flask-FlatPages/Flask-FlatPages · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/Flask-FlatPages/Flask-FlatPages)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.