---
license: mit
datasets:
- bsmock/pubtables-1m
tags:
- table detection
- table structure recognition
- table extraction
---

# Model Card for Model ID

This repo contains the models for:

1) Table detection,
2) Table structure recognition,

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)

## Model Details

### Model Description

- **Developed by:** Brandon Smock and Rohith Pesala, while at Microsoft
- **License:** MIT
- **Finetuned from model:** DETR ResNet-18

### Model Sources

Please see the following for more details:

- **Repository:** ["https://github.com/microsoft/table-transformer"](https://github.com/microsoft/table-transformer)
- **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)