human VS face-emotion-recognition

Compare human vs face-emotion-recognition and see what are their differences.

human

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition (by vladmandic)
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human face-emotion-recognition
6 1
2,039 573
- -
6.7 5.8
17 days ago 10 days ago
HTML Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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human

Posts with mentions or reviews of human. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.

face-emotion-recognition

Posts with mentions or reviews of face-emotion-recognition. We have used some of these posts to build our list of alternatives and similar projects.
  • [Research] Emotion recognition using videos on mobile devices
    1 project | /r/MachineLearning | 3 Jun 2021
    Yes, the training code is available in the co-author's github repository: https://github.com/HSE-asavchenko/face-emotion-recognition/tree/main/src There's code for several models that we tried training using the proposed approach. The best one turned out to be the EfficientNet-B0 model.

What are some alternatives?

When comparing human and face-emotion-recognition you can also consider the following projects:

face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

insightface - State-of-the-art 2D and 3D Face Analysis Project

fer - Facial Expression Recognition with a deep neural network as a PyPI package

face-api - FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.

WebsUpTV - Node.js application for displaying various web widgets over Android TV OS - Sports, News, Weather, Plex and more

malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

OpenLive3D.github.io - Connect Camera to VRM with Web

soxan - Wav2Vec for speech recognition, classification, and audio classification

ws-scrcpy - Web client prototype for scrcpy.

Emotions-Classification - Tells You about the emotion/Sentimental Analysis of a Sentence