Computer Vision - Text Detection In Videos
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Updated
Feb 5, 2017 - MATLAB
Computer Vision - Text Detection In Videos
Signature Classification on ICDAR 2011 Signature Dataset
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
Implementation of PHOSNet and Pho(SC)Net for Word Recognition in Historical Documents. Implemented using Tensorflow 2.x
A tool for the conversion from ICDAR to COCO dataset.
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".
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE
TedEval: A Fair Evaluation Metric for Scene Text Detectors
Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)
🤓All the geeky stuffs you need to know at one place!
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
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