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.
Real time emotion recognition, using OpenCV and haarcascade algorithm for face detection from the video source, then I've done emotion recognition using a model trained on FER-2013 dataset with Tensorflow. and also as an other solution, I used DeepFace package for emotion recognition as a prefabricated solution.
Built a real time system which is able to capture facial emotions of a person and classify human faces in real time into a fixed number of emotions. Trained a CNN to identify whether the face is happy, angry, sad, surprised etc.
This project is a part of "Deep Learning + ML Engineering” curriculum as capstone projects at Almabetter School.
A Face Emotion Recognizer
This web app uses face-api to detect face using webcam live video feed.
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.
Face Detection and Emotion Recognition models to capture and interpret facial expressions
PERSONALISED AI ASSISTANT - IRIS is an AI personal assistant designed as a companion with whom a person can share their emotions and feelings with. IRIS can reply with an appropriate response to help a person cope with their situation better.
Super lite Flask app that can perform emotion detection
Face Emotion Recognition using FER2013 dataset. Test accuracy: 69.35%
Face emotion detection system .
Build a Face Emotion Recognition (FER) Algorithm
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…
Face Emotion Detection using CNN
Build a full stack application with object-face-emotion recognition
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