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@@ -38,6 +38,8 @@ This model is a **ResNet-50** Convolutional Neural Network (CNN) finetuned to cl
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  ## Model Details
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  ### Model Description
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  This model utilizes the standard ResNet-50 architecture designed for image classification. Instead of "reading" the text like an OCR system, it analyzes the visual layout, structure, and low-level texture features of a whole document page to determine its category (e.g., recognizing the block layout of a resume versus the dense, two-column text of a scientific report).
 
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  ## Model Details
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+ ![Model Architecture](aechitecture.png)
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  ### Model Description
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  This model utilizes the standard ResNet-50 architecture designed for image classification. Instead of "reading" the text like an OCR system, it analyzes the visual layout, structure, and low-level texture features of a whole document page to determine its category (e.g., recognizing the block layout of a resume versus the dense, two-column text of a scientific report).