Comments (3)
@tolahs hello! Thanks for reaching out with your query. 🌟
It seems the issue you're experiencing might be due to the model generalizing the features of 'ID documents' to similar document types like driver's licenses. Here are a couple of suggestions to address this:
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Diverse Training Data: Consider including a more diverse set of document types in your training set, including examples of documents you do not want the model to detect as 'ID documents'. This will help the model learn a clearer distinction.
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Increase Validation Data Variety: Ensure your validation dataset includes various non-ID documents to help evaluate the model's capability to differentiate correctly.
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Adjust Class Weights: If certain classes are overrepresented, consider adjusting the class weights to minimize bias.
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Fine-tuning: If the model consistently misclassifies certain types, additional fine-tuning with augmented data showcasing these misclassifications might help.
By enhancing the dataset and potentially adjusting some training parameters, the model should start to differentiate more accurately between the types of documents. 👍
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I I haven't tried what you said yet, but first of all, I would like to thank you for your informative and informative answer. I understand what you mean and I will put it into practice as soon as possible and evaluate the results.
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@tolahs you're welcome! 😊 I'm glad the information was helpful. Take your time to implement the suggestions, and please don't hesitate to reach out if you have more questions or need further assistance along the way. Looking forward to hearing about your results! Good luck! 👍
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