---
license: mit
language:
- en
---
# 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](https://opensource.org/license/mit).