# face-analysis/emonet

<https://repo.masters-masters.com/en/repos/face-analysis/emonet>

[Home](https://repo.masters-masters.com/en) › [face-analysis](https://repo.masters-masters.com/en/owners/face-analysis) › [emonet](https://repo.masters-masters.com/en/repos/face-analysis/emonet)

face-analysis/emonet has 364 stars on GitHub. Its RepoMasters card: Alpha tier. Official implementation of the paper "Estimation of continuous valence and…

| Field | Value |
| --- | --- |
| Owner | [face-analysis](https://repo.masters-masters.com/en/owners/face-analysis) |
| Stars | 364 |
| Forks | 84 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | affect-analysis, affective-computing, valence-arousal, valence, arousal, emotion-recognition, emotion-detection, machine-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [face-analysis/emonet](https://github.com/face-analysis/emonet) |

## Repository

Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021

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

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