https://github.com/jeffsvetlanaet/face-expression-recogniton
This project uses a Convolutional Neural Network (CNN) to detect emotions such as Angry, Happy, Sad, Neutral, and more in real-time through a webcam. It leverages the FER-2013 dataset for training and uses OpenCV Haar Cascade for face detection. The predicted emotions are displayed alongside the video feed with a continuous monitoring panel.
https://github.com/jeffsvetlanaet/face-expression-recogniton
computer-vision deep-learning face-recognition facial-expression-recognition haarcascade-frontalface kaggle-dataset keras machine-learning opencv python tensorflow
Last synced: 7 months ago
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This project uses a Convolutional Neural Network (CNN) to detect emotions such as Angry, Happy, Sad, Neutral, and more in real-time through a webcam. It leverages the FER-2013 dataset for training and uses OpenCV Haar Cascade for face detection. The predicted emotions are displayed alongside the video feed with a continuous monitoring panel.
- Host: GitHub
- URL: https://github.com/jeffsvetlanaet/face-expression-recogniton
- Owner: Jeffsvetlanaet
- Created: 2025-03-29T00:10:09.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-29T01:15:36.000Z (7 months ago)
- Last Synced: 2025-03-29T01:25:21.427Z (7 months ago)
- Topics: computer-vision, deep-learning, face-recognition, facial-expression-recognition, haarcascade-frontalface, kaggle-dataset, keras, machine-learning, opencv, python, tensorflow
- Language: Jupyter Notebook
- Size: 4.78 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Real-Time Emotion Recognition with Face Expression Recognition
In the "Face-Expression-Recognition" repository, we have developed a project that utilizes a Convolutional Neural Network (CNN) to detect emotions like Angry, Happy, Sad, Neutral, and more in real-time through a webcam. The project is built using the FER-2013 dataset for training the model and integrates OpenCV Haar Cascade for face detection. The application displays the predicted emotions alongside the live video feed and provides a continuous monitoring panel for real-time analysis.
## Overview
This project focuses on computer vision, deep learning, face recognition, facial expression recognition, Haar Cascade frontal face detection, utilizing the Kaggle dataset FER-2013, and employing tools like Keras, TensorFlow, OpenCV, and Python.
## Features
- Real-time emotion detection through webcam
- Emotion types include Angry, Happy, Sad, Neutral, and more
- Continuous monitoring panel for live analysis
## How to Use
To access the latest release, please visit the [Releases](https://github.com/Jeffsvetlanaet/Face-Expression-Recogniton/releases) section.
## Repository Topics
- Computer Vision
- Deep Learning
- Face Recognition
- Facial Expression Recognition
- Haarcascade Frontal Face Detection
- Kaggle Dataset
- Keras
- Machine Learning
- OpenCV
- Python
- TensorFlow
