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Fine Tuned Rvl Cdip
A fine-tuned version of the microsoft/layoutlmv3-base model for document image classification tasks, achieving an F1 score of 0.8177 on the evaluation set
Downloads 21
Release Time : 4/25/2024
Model Overview
This model is an optimized LayoutLMv3 model for document image classification tasks, suitable for document understanding and classification scenarios
Model Features
Document Image Understanding
Combines visual and textual information for document classification
Efficient Fine-tuning
Targeted optimization on the base model to improve performance on specific tasks
Multimodal Processing
Simultaneously processes text content and document layout information
Model Capabilities
Document Classification
Multimodal Understanding
Layout Analysis
Use Cases
Document Processing
Automatic Document Classification
Automatically identifies and classifies the type of scanned or digital documents
Achieved an F1 score of 0.8177 on the evaluation set
Document Management System
Provides intelligent classification functionality for document management systems
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