icdar
Here are 19 public repositories matching this topic...
-
Updated
Oct 10, 2021 - Jupyter Notebook
A Siamese Neural Network for authenticating handwritten signatures.
-
Updated
Mar 15, 2023 - Python
Signature Classification on ICDAR 2011 Signature Dataset
-
Updated
Oct 1, 2023 - Jupyter Notebook
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
-
Updated
May 10, 2023 - Python
Computer Vision - Text Detection In Videos
-
Updated
Feb 5, 2017 - MATLAB
A tool for the conversion from ICDAR to COCO dataset.
-
Updated
Apr 28, 2021 - Python
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".
-
Updated
Feb 20, 2024 - Jupyter Notebook
High-quality synthetic text data generation for Urdu Text Recognition
-
Updated
Sep 8, 2023 - Python
Implementation of PHOSNet and Pho(SC)Net for Word Recognition in Historical Documents. Implemented using Tensorflow 2.x
-
Updated
Jan 9, 2023 - Python
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
-
Updated
Feb 1, 2024 - Python
TedEval: A Fair Evaluation Metric for Scene Text Detectors
-
Updated
Sep 29, 2023 - Python
Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE
-
Updated
Sep 17, 2018 - Python
Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)
-
Updated
Nov 22, 2022 - Python
Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.
-
Updated
Oct 5, 2023 - MATLAB
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
-
Updated
Apr 6, 2019 - Python
🤓All the geeky stuffs you need to know at one place!
-
Updated
May 21, 2024 - Python
Improve this page
Add a description, image, and links to the icdar topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the icdar topic, visit your repo's landing page and select "manage topics."