
# 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)
{"license": "mit", "tags": ["table detection", "table structure recognition", "table extraction"], "datasets": ["bsmock/pubtables-1m"]}
table detection table structure recognition table extraction dataset:bsmock/pubtables-1m license:mit has_space region:us
TAGS
#table detection #table structure recognition #table extraction #dataset-bsmock/pubtables-1m #license-mit #has_space #region-us 


# 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"

## 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: "URL
- Paper: "PubTables-1M: Towards comprehensive table extraction from unstructured documents"
# 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" ## 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: "URL
- Paper: "PubTables-1M: Towards comprehensive table extraction from unstructured documents"
TAGS
#table detection #table structure recognition #table extraction #dataset-bsmock/pubtables-1m #license-mit #has_space #region-us 
 # 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" ## 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: "URL
- Paper: "PubTables-1M: Towards comprehensive table extraction from unstructured documents"