Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
🤓All the geeky stuffs you need to know at one place!
Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)
TedEval: A Fair Evaluation Metric for Scene Text Detectors
Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
Implementation of the table detection and table structure recognition deep learning model described in the paper "ClusterTabNet: Supervised clustering method for table detection and table structure recognition".
A tool for the conversion from ICDAR to COCO dataset.
Implementation of PHOSNet and Pho(SC)Net for Word Recognition in Historical Documents. Implemented using Tensorflow 2.x
High-quality synthetic text data generation for Urdu Text Recognition
A TensorFlow 2 reimplementation of DBNet available as a Python package for Scene Text Detection, following ICDAR 2015 Dataset format and using TedEval as Evaluation metrics
Signature Classification on ICDAR 2011 Signature Dataset
Computer Vision - Text Detection In Videos
Add a description, image, and links to the icdar topic page so that developers can more easily learn about it.
To associate your repository with the icdar topic, visit your repo's landing page and select "manage topics."