# Table Structure Recognition

This is an image segmentation model based on the Transformer architecture, specifically designed for page layout and floor plan segmentation tasks.

This model is a table structure recognition model, likely used to extract structural information of tables from documents.

A fine-tuned model based on DETR-ResNet50 architecture for document element detection tasks

Object detection model based on DETR architecture, using ResNet50 as the backbone network, fine-tuned on a specific dataset

A table structure recognition model fine-tuned based on microsoft/table-transformer-structure-recognition-v1.1-all

A table structure recognition model developed based on Microsoft's Table Transformer for table detection and recognition tasks in documents

A Transformer-based model for table structure recognition, designed to detect table structures in documents

A table structure recognition model based on the DETR architecture, specifically designed for detecting and analyzing table structures in documents.

A table transformer model trained on the PubTables1M dataset for table structure recognition in documents.

DETR architecture model trained on PubTables1M and FinTabNet datasets, specialized for table structure recognition tasks

A Table Transformer model trained on the PubTables1M dataset for extracting table structures from unstructured documents