facial-recognition

Model Description

The Friend Facial Recognition model is a convolutional neural network (CNN) designed to recognize friends in images. The model is trained using Python and utilizes the Discord bot integration for real-time image prediction within Discord.

Model Details

• Input Format: RGB images with dimensions 300x350 pixels.
• Output Format: Predicted class label (e.g., friend's name).
• Training Data: Labeled images of friends organized into appropriate directories for different classes.
• Training Procedure: The model is trained using the RMSprop optimizer with a learning rate of 1e-5 for 50 epochs.

Performance Metrics

• Accuracy: Achieves an accuracy of approximately 90% on a validation dataset.

Use Cases

• Recognizing friends in images shared within Discord channels or servers.
• Personal project or hobby use for fun and entertainment purposes.

Ethical Considerations

• Biases: The model's performance may be influenced by biases in the training data, potentially leading to differential accuracy across different demographic groups.
• Fairness: Ensure fairness in model predictions and mitigate any unintended biases by regularly monitoring and evaluating model performance across diverse datasets.
• Privacy: Respect the privacy of individuals by obtaining consent before using their images for training or testing the model.

Limitations

• The model's performance may degrade when presented with images containing multiple individuals or poor lighting conditions.
• Limited to recognizing only a predefined set of friends for whom the model has been trained.

License

This model is licensed under the MIT License.