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--- |
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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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# Model Card for Model ID |
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This repo contains the models for: |
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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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- **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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### Model Sources |
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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) |
