cremma-16-17-print
By HTR-United
TextRecognitionDataGenerator
A synthetic data generator for text recognition (by Belval)
| cremma-16-17-print | TextRecognitionDataGenerator | |
|---|---|---|
| 1 | 1 | |
| 0 | 3,052 | |
| - | - | |
| 0.0 | 4.3 | |
| over 1 year ago | 7 days ago | |
| XSLT | Python | |
| Creative Commons Zero v1.0 Universal | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cremma-16-17-print
Posts with mentions or reviews of cremma-16-17-print.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-09.
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What would you love to see in a modern edition of a 16th-century work?
I would also recommend to look into OCR and the progress in this area, at least to help you kickstart the trancription. Simon Gabay at Geneva is leading a project where they host eScriptorium, and their results are quite good. I have produced myself some data for Latin ( https://github.com/HTR-United/cremma-16-17-print ) and, except for some rare characters, the results are more than promising (much more than what Abbyy can do).
TextRecognitionDataGenerator
Posts with mentions or reviews of TextRecognitionDataGenerator.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] How to generate syntactically correct text examples for CRNN-CTC
[1]: https://github.com/Belval/TextRecognitionDataGenerator
What are some alternatives?
When comparing cremma-16-17-print and TextRecognitionDataGenerator you can also consider the following projects:
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
AdelaiDet - AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.
faker - Faker is a Python package that generates fake data for you.
Synthea-Test-Data - Test Data Created Using Synthea