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.