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.
This project is a part of "Deep Learning + ML Engineering” curriculum as capstone projects at Almabetter School.
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.
A Face Emotion Recognizer
This web app uses face-api to detect face using webcam live video feed.
Super lite Flask app that can perform emotion detection
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.
Face Detection and Emotion Recognition models to capture and interpret facial expressions
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 Emotion Recognition using FER2013 dataset. Test accuracy: 69.35%
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…
Build a full stack application with object-face-emotion recognition
Face Emotion Detection using CNN
Face emotion detection system .
CMP5103 - Artificial Intelligence - Emotion Recognition & Report
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