deep-text-recognition-benchmark VS Calliar

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

Calliar

A dataset for online Arabic calligraphy. A collection of 2500 annotated calligraphic styles. (by ARBML)
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deep-text-recognition-benchmark Calliar
2 1
3,630 138
1.0% 2.2%
0.0 2.2
2 months ago 12 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.

Calliar

Posts with mentions or reviews of Calliar. 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 Calliar you can also consider the following projects:

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

postcss-rtl - PostCSS plugin for RTL-adaptivity

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

document-ai-samples - Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox

ocrpy - OCR, Archive, Index and Search: Implementation agnostic OCR framework.

awesome-ocr

deep-text-recognition-benchmark - PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)

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

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.

genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

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