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  license: mit
 
 
 
 
 
 
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  license: mit
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+ datasets:
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+ - bsmock/pubtables-1m
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+ tags:
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+ - table detection
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+ - table structure recognition
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+ - table extraction
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  ---
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+
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+ # Model Card for Model ID
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+ This repo contains the models for:
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+
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+ 1) Table detection,
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+ 2) Table structure recognition,
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+ trained on the PubTables-1M dataset, using the training details in the paper: ["PubTables-1M: Towards comprehensive table extraction from unstructured documents"](https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html)
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+ ## Model Details
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+ ### Model Description
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+
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+ - **Developed by:** Brandon Smock and Rohith Pesala, while at Microsoft
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+ - **License:** MIT
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+ - **Finetuned from model:** DETR ResNet-18
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+
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+ ### Model Sources
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+
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+ Please see the following for more details:
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+ - **Repository:** ["https://github.com/microsoft/table-transformer"](https://github.com/microsoft/table-transformer)
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+ - **Paper:** ["PubTables-1M: Towards comprehensive table extraction from unstructured documents"](https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html)