# Table Detection

A multimodal table detection model fine-tuned based on the Florence-2 model, capable of precisely locating table areas in images.

This model is based on the DeTr architecture, pre-trained on 5,000 table detection images, and then fine-tuned for specific table detection tasks

A table detection model fine-tuned based on facebook/detr-resnet-50, trained on the table_detection_light dataset

An object detection model based on YOLOv8m, specifically designed for table extraction tasks, capable of detecting both bordered and borderless tables.

A table detection model based on YOLOv8 for identifying table regions in images, supporting both bordered and borderless table detection.

A table detection model based on YOLOv8, capable of identifying table regions in documents, supporting both bordered and borderless table types.

Table Transformer is a table detection model based on the DETR architecture, specifically designed to detect and recognize table structures from document images.