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--- |
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license: mit |
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language: |
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- en |
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--- |
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# Model Description |
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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. |
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# Model Details |
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- **Input Format**: RGB images with dimensions 300x350 pixels. |
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- **Output Format**: Predicted class label (e.g., friend's name). |
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- **Training Data**: Labeled images of friends organized into appropriate directories for different classes. |
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- **Training Procedure**: The model is trained using the RMSprop optimizer with a learning rate of 1e-5 for 50 epochs. |
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# Performance Metrics |
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- **Accuracy**: Achieves an accuracy of approximately 90% on a validation dataset. |
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# Use Cases |
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- Recognizing friends in images shared within Discord channels or servers. |
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- Personal project or hobby use for fun and entertainment purposes. |
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# Ethical Considerations |
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- **Biases**: The model's performance may be influenced by biases in the training data, potentially leading to differential accuracy across different demographic groups. |
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- **Fairness**: Ensure fairness in model predictions and mitigate any unintended biases by regularly monitoring and evaluating model performance across diverse datasets. |
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- **Privacy**: Respect the privacy of individuals by obtaining consent before using their images for training or testing the model. |
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# Limitations |
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- The model's performance may degrade when presented with images containing multiple individuals or poor lighting conditions. |
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- Limited to recognizing only a predefined set of friends for whom the model has been trained. |
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# License |
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This model is licensed under the [MIT License](https://opensource.org/license/mit). |
