Description
Automatic facial emotion recognition is a challenging task that has gained significant scientific interest and has applications in crowd analytics, social media, marketing, event detection and summarization, public safety, human-computer interaction, digital security surveillance, street analytics, image retrieval, etc. The problem of emotion recognition for a group of people has been less extensively studied, but it is gaining popularity due to the massive amount of data available on social networking sites containing images of groups of people participating in social events.
This project aims to classify a group’s perceived emotion as Positive, Neutral or Negative.
My model is basically a novel combination of deep convolutional neural networks and Bayesian classifiers. It has been implemented in Python using Keras (Tensorflow), OpenCV and Dlib.
Live demo - https://ger.hackeryogi.com
Github repo - https://github.com/samanyougarg/Group-Emotion-Recognition
**Ignore**
emotion recognition,facial expression recognition,facial emotion recognition,expression recognition,facial emotions,facial expressions,deep learning,machine learning,artificial intelligence,facial emotion recognition using cnn,facial emotion detection using deep learning,facial expression detection,group emotion recognition,computer vision projects,computer vision,facial expression recognition using python and opencv,neural network,convolutional neural network