This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
This repo contains the code for "Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks", ICDAR 2019..
Table detection is a crucial step in many document analysis applications as tables are used for presenting essential information to the reader in a structured manner. This project is based on deep learning for table detection.