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# Model Card for ResNet-50 Document Classifier
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## Quick Summary
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This model is a **ResNet-50** Convolutional Neural Network (CNN) finetuned to classify scanned document images into **16 categories** (e.g., Emails, Invoices, Resumes, Scientific Reports). It achieves **88.46% overall accuracy** on the RVL-CDIP test set and a very strong **95.62% Top-3 Accuracy**, making it highly effective for automated document triage and organization pipelines.
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## Model Details
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# Model Card for ResNet-50 Document Classifier
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This model is a **ResNet-50** Convolutional Neural Network (CNN) finetuned to classify scanned document images into **16 categories** (e.g., Emails, Invoices, Resumes, Scientific Reports). It achieves **88.46% overall accuracy** on the RVL-CDIP test set and a very strong **95.62% Top-3 Accuracy**, making it highly effective for automated document triage and organization pipelines.
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## Model Details
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