atulapra/Emotion-detection
Real-time Facial Emotion Detection using deep learning
This project helps you classify a person's real-time facial expressions into seven core emotions: angry, disgusted, fearful, happy, neutral, sad, and surprised. It takes live webcam video as input and outputs the detected emotion displayed on the screen. This is designed for researchers, developers, or anyone interested in exploring real-time human emotion recognition from video feeds.
1,346 stars. No commits in the last 6 months.
Use this if you need to quickly set up a system to detect and display basic emotions from a live camera feed.
Not ideal if you require highly accurate, nuanced, or context-aware emotion analysis for critical applications.
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Language
Python
License
MIT
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Last pushed
Aug 30, 2024
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