face-emotion-recognition

rishiswethan/Video-Audio-Face-Emotion-Recognition

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

venugopalkadamba/Face_Emotion_Recognition

A computer vision project.

COINS-SS21/moody

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.

Chiragj2003/Face-detection-model

Face emotion detection system .

faezesarlakifar/face-emotion-recognition

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

shrenik-jain/face-physiognomy

A Face Emotion Recognizer

anishjohnson/Face-Emotion-Recognition

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

fshnkarimi/FaceEmotionRecognition

Build a Face Emotion Recognition (FER) Algorithm

manish-9245/flask-face-api

Super lite Flask app that can perform emotion detection

AbhishekPratap05/Real-Time-Face-Detection

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

Jayanth-MKV/Face-Emotion-Recognition-API-using-FastAPI

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

kholdarbekov/FaceEmotionRecognition

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

mahin-arvind/FaceEmotionRecognition

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 detection for industries like digital learning and market research. In this project, the Face Emotion Recognition 2013 Dataset was used to train five different types of architectures built using convolutional layers. Three custom convolutional networks were designed using traditional convolutional layers, VGG blocks and a simple inception block. Apart from this, transfer learning was administered on VGG-16 and ResNet-50 architectures using ImageNet weights. A sum total of five models were trained and evaluated during the course of the project. The best-performing model was deployed as a Streamlit application to perform real-time emotion recognition.

Mihirsahu2307/Facial_Emotion_Recognition

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

salma2vec/Inception-ResNet-V2-FER

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.

ahmetbeylihan/emotion-recognition

CMP5103 - Artificial Intelligence - Emotion Recognition & Report

gayathri1462/Face-Emotion-Recognition

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.

HariprasadManimozhi/ip_application

Build a full stack application with object-face-emotion recognition

joth1ka-s/face_emotion-recognition

Facial Emotion Recognition (FER) is a computer vision task aimed at identifying and categorizing emotional expressions depicted on a human face. The goal is to automate the process of determining emotions in real-time, by analyzing the various features of a face.

Mohammadimh76-v2/EmoSenseVision_EmotionRecognition

Efficient face emotion recognition in photos and videos

RHEA211/Emotion-Recognition

Recognising facial emotions using a library from pytorch

standing-o/Facial_Emotion_Recognition

Facial emotion recognition (FER) using convolutional neural networks

susz9/Face-Emotion-Detection-using-CNN

Face Emotion Detection using CNN

amshrbo/realtime-face-emotion-recognition

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.

chiragn888/Iris

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.

Achyut-Krishna/VITFER

baselhusam/EmotionLens

Face Detection and Emotion Recognition models to capture and interpret facial expressions

kimmandoo/FaceEmotionRecognition

FaceEmotionRecognition derived by lampadovnikita's archive. An Android application performing recognition of facial emotions on an image.