face-emotion-recognition

There are 26 repositories under face-emotion-recognition topic.

  • av-savchenko/face-emotion-recognition

    Efficient face emotion recognition in photos and videos

    Language:Jupyter Notebook603949119
  • Video-Audio-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

    Language:Jupyter Notebook34226

  • venugopalkadamba/Face_Emotion_Recognition

    A computer vision project.

    Language:Jupyter Notebook282010

  • 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.

    Language:TypeScript17306

  • shrenik-jain/face-physiognomy

    A Face Emotion Recognizer

    Language:Jupyter Notebook6201

  • anishjohnson/Face-Emotion-Recognition

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

    Language:Jupyter Notebook5100

  • Chiragj2003/Face-detection-model

    Face emotion detection system .

    Language:Jupyter Notebook5100

  • fshnkarimi/FaceEmotionRecognition

    Build a Face Emotion Recognition (FER) Algorithm

    Language:Jupyter Notebook4100

  • manish-9245/flask-face-api

    Super lite Flask app that can perform emotion detection

    Language:JavaScript310

  • AbhishekPratap05/Real-Time-Face-Detection

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

    Language:JavaScript2201

  • kholdarbekov/FaceEmotionRecognition

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

    Language:Python2101

  • 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.

    Language:Jupyter Notebook2100

  • Mihirsahu2307/Facial_Emotion_Recognition

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

    Language:Jupyter Notebook2200

  • 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.

    Language:Jupyter Notebook2201

  • ahmetbeylihan/emotion-recognition

    CMP5103 - Artificial Intelligence - Emotion Recognition & Report

    Language:Python1200

  • 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.

    Language:Jupyter Notebook1202

  • HariprasadManimozhi/ip_application

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

    Language:Python1100

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

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

    Language:Python110

  • 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.

    Language:Python1

  • Mohammadimh76/EmoSenseVision_EmotionRecognition

    Efficient face emotion recognition in photos and videos

    120

  • RHEA211/Emotion-Recognition

    Recognising facial emotions using a library from pytorch

    Language:Python1100

  • standing-o/Facial_Emotion_Recognition

    Facial emotion recognition (FER) using convolutional neural networks

    Language:Jupyter Notebook110

  • susz9/Face-Emotion-Detection-using-CNN

    Face Emotion Detection using CNN

    Language:Jupyter Notebook1100

  • 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.

    Language:Jupyter Notebook0102

  • 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.

    Language:Python0201

  • Achyut-Krishna/VITFER

    10