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Detr Beyond Words
An object detection model fine-tuned on the Beyond Words dataset, based on facebook/detr-resnet-50
Downloads 17
Release Time : 3/2/2022
Model Overview
This model is an object detection model using the DETR (Detection Transformer) architecture, specifically optimized for document images in the Beyond Words dataset, capable of detecting various elements within documents.
Model Features
Document Element Detection
Object detection capabilities specifically optimized for document images
Transformer-Based
Utilizes the DETR architecture, combining the strengths of CNN and Transformer
Fine-Tuned Model
Fine-tuned on a domain-specific dataset (Beyond Words)
Model Capabilities
Document Image Analysis
Object Detection
Document Element Recognition
Use Cases
Document Digitization
Historical Document Analysis
Identify and locate text blocks, images, and other elements in historical documents
Assists libraries and archives in document digitization processes
Newspaper Layout Analysis
Detect article, advertisement, and image regions in newspaper layouts
Supports automatic extraction and classification of news content
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