Efficient face emotion recognition in photos and videos

The repo contains an audio emotion detection model, facial emotion detection model, and a model that combines both these models to predict emotions from a video

A computer vision project.

Moody is a web application allowing the host of online meetings (e.g. via Zoom, Microsoft Teams or Google Meet) to collect real-time feedback of the participant's emotions.

Face emotion detection system .

Recognition of Iranian human facial emotions across four categories: Happy, Sad, Angry, and Neutral.

A Face Emotion Recognizer

This project is a part of "Deep Learning + ML Engineering” curriculum as capstone projects at Almabetter School.

Build a Face Emotion Recognition (FER) Algorithm

Super lite Flask app that can perform emotion detection

This web app uses face-api to detect face using webcam live video feed.

Face Emotion Recognition using FER2013 dataset. Test accuracy: 69.35%

Face-Emotion-Recognition using a model trained over MobileNet with an accuracy of 70%

Face emotion recognition technology detects emotions and mood patterns invoked in human faces. This technology is used as a sentiment analysis tool to identify the six universal expressions, namely, happiness, sadness, anger, surprise, fear and disgust. Identifying facial expressions has a wide range of applications in human social interaction d…

Building and testing several models for real-time facial emotion recognition.

A from-scratch SOTA PyTorch implementation of the Inception-ResNet-V2 model designed by Szegedy et. al., adapted for Face Emotion Recognition (FER), with custom dataset support.

Recognising facial emotions using a library from pytorch

Face Emotion Detection using CNN

Efficient face emotion recognition in photos and videos

Facial emotion recognition (FER) using convolutional neural networks