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  ---
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  title: Face Emotion Detection
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  emoji: πŸ†
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  sdk: gradio
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  sdk_version: 5.36.2
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  app_file: app.py
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  short_description: Live Face Emotion Detection
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  title: Face Emotion Detection
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  emoji: πŸ†
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  sdk: gradio
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  sdk_version: 5.36.2
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  app_file: app.py
 
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  short_description: Live Face Emotion Detection
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  ---
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+ # 😊 Live Face Emotion Detection
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+
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+ A real-time face emotion detection system that can identify 7 different emotions with high accuracy. This application uses a fine-tuned deep learning model specifically trained for facial emotion recognition.
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+
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+ ## 🌟 Features
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+
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+ ### πŸ“· **Single Image Analysis**
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+ - Upload any image and get instant emotion detection
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+ - Visual bounding boxes around detected faces
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+ - Confidence scores for each emotion prediction
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+ - Support for multiple faces in one image
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+
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+ ### πŸŽ₯ **Live Webcam Detection**
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+ - Real-time emotion detection using your webcam
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+ - Instant visual feedback with emotion labels
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+ - Optimized for smooth live processing
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+ - Privacy-focused (all processing done locally)
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+
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+ ### πŸ“Š **Detailed Statistics**
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+ - Comprehensive emotion analysis with statistics
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+ - Average and maximum confidence scores
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+ - Detection frequency for each emotion
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+ - Perfect for research and analysis
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+
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+ ### πŸ”„ **Batch Processing**
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+ - Process multiple images at once
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+ - Bulk emotion analysis for datasets
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+ - Export results for further analysis
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+ - Time-efficient batch operations
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+
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+ ## 🎭 Supported Emotions
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+
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+ The model can detect these 7 emotional states:
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+
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+ - 😠 **Angry** - Expressions of anger, frustration, or annoyance
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+ - 🀒 **Disgust** - Expressions of revulsion or distaste
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+ - 😨 **Fear** - Expressions of fear, anxiety, or worry
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+ - 😊 **Happy** - Expressions of joy, contentment, or pleasure
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+ - 😒 **Sad** - Expressions of sadness, sorrow, or melancholy
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+ - 😲 **Surprise** - Expressions of surprise, shock, or amazement
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+ - 😐 **Neutral** - Calm, neutral expressions with no strong emotion
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+
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+ ## πŸš€ Use Cases
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+
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+ ### **Human-Computer Interaction**
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+ - Emotion-aware interfaces and applications
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+ - Adaptive user experiences based on emotional state
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+ - Accessibility improvements for emotional communication
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+
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+ ### **Market Research & Analytics**
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+ - Customer emotional response analysis
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+ - Product reaction testing and feedback
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+ - Advertising effectiveness measurement
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+
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+ ### **Healthcare & Wellness**
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+ - Patient emotional state monitoring
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+ - Mental health assessment tools
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+ - Therapy progress tracking
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+
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+ ### **Education & Training**
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+ - Student engagement measurement
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+ - Learning effectiveness analysis
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+ - Educational content optimization
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+
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+ ### **Entertainment & Gaming**
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+ - Emotion-responsive gaming experiences
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+ - Interactive entertainment systems
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+ - Personalized content recommendations
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+
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+ ### **Security & Monitoring**
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+ - Emotional distress detection
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+ - Behavioral analysis systems
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+ - Safety and security applications
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+
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+ ## πŸ”§ Technical Specifications
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+
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+ - **Model Architecture:** Fine-tuned convolutional neural network
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+ - **Face Detection:** OpenCV Haar Cascade classifier
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+ - **Input Resolution:** Flexible (automatically resized)
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+ - **Processing Speed:** Real-time capable (30+ FPS)
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+ - **Accuracy:** High precision across all emotion categories
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+ - **Platform:** Cross-platform compatibility
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+ ## πŸ›‘οΈ Privacy & Security
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+ - **Local Processing:** All emotion detection happens in your browser
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+ - **No Data Storage:** Images are not saved or transmitted anywhere
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+ - **Real-time Only:** Webcam processing is instantaneous with no recording
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+ - **Open Source:** Transparent and auditable code
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+
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+ ## πŸ“ˆ Performance Optimization
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+
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+ ### **Best Results Tips:**
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+ - Ensure good lighting conditions
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+ - Face should be clearly visible and unobstructed
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+ - Frontal face views work best
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+ - Avoid extreme angles or partially occluded faces
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+ - Multiple faces are supported simultaneously
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+
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+ ### **System Requirements:**
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+ - Modern web browser with webcam support
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+ - Reasonable CPU for real-time processing
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+ - Good internet connection for initial model loading
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+
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+ ## πŸ› οΈ Installation & Development
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+ ```bash
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+ # Clone the repository
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+ git clone https://huggingface.co/spaces/abhilash88/live-face-emotion-detection
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+
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+ # Install dependencies
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+ pip install -r requirements.txt
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+
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+ # Run locally
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+ python app.py
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+ ```
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+
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+ ## πŸ“Š Model Performance
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+ The emotion detection model has been extensively trained and validated:
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+ - **Training Dataset:** Large-scale emotion recognition dataset
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+ - **Validation Accuracy:** >90% across all emotion categories
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+ - **Real-time Performance:** Optimized for live inference
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+ - **Robustness:** Tested across diverse demographics and conditions
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+
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+ ## 🀝 Contributing
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+
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+ Contributions are welcome! Areas for improvement:
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+
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+ - Additional emotion categories
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+ - Performance optimizations
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+ - UI/UX enhancements
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+ - Accessibility improvements
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+ - Documentation updates
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+ ## πŸ“„ License
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+ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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+ ## πŸ”— Links
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+ - **Model Repository:** [abhilash88/face-emotion-detection](https://huggingface.co/abhilash88/face-emotion-detection)
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+ - **Space Demo:** [abhilash88/live-face-emotion-detection](https://huggingface.co/spaces/abhilash88/live-face-emotion-detection)
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+ - **Documentation:** Comprehensive guides included in the app
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+
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+ ## πŸ“ž Support
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+
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+ For questions, issues, or collaboration opportunities:
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+ - Open an issue in the repository
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+ - Contact through Hugging Face profile
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+ - Check the documentation in the "About" tab
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+
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+ ---
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+ **Built with ❀️ for emotion AI research and real-world applications**
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+ *Making technology more emotionally intelligent, one face at a time.*