deep-text-recognition-benchmark VS genalog

Compare deep-text-recognition-benchmark vs genalog and see what are their differences.

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods, ICCV 2019 (by clovaai)
iccv2019 OCR ocr-recognition text-recognition Deep Learning scene-text-recognition recognition scene-text crnn rare r2am grcnn Rosetta star-net
Source Code
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genalog

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities. (by microsoft)
Ner ocr-recognition Python text-alignment data-generation Data Science Machine Learning synthetic-data synthetic-images synthetic-data-generation
Source Code
microsoft.github.io
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deep-text-recognition-benchmark genalog
2 1
3,625 295
0.8% 1.4%
0.0 0.0
about 2 months ago 3 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

deep-text-recognition-benchmark

Posts with mentions or reviews of deep-text-recognition-benchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-29.

genalog

Posts with mentions or reviews of genalog. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing deep-text-recognition-benchmark and genalog you can also consider the following projects:

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

SDV - Synthetic data generation for tabular data

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

synthetic-data-genomics - Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data.

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox

Copulas - A library to model multivariate data using copulas.

awesome-ocr

docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.

doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.

nist-crc-2023 - NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!

deep-text-recognition-benchmark vs detectron2 genalog vs SDV deep-text-recognition-benchmark vs EasyOCR genalog vs synthetic-data-genomics deep-text-recognition-benchmark vs mmocr genalog vs Copulas deep-text-recognition-benchmark vs awesome-ocr genalog vs docutron deep-text-recognition-benchmark vs doctr genalog vs ML-For-Beginners deep-text-recognition-benchmark vs Machine-Learning-Cyrillic-Classifier genalog vs nist-crc-2023