deep-text-recognition-benchmark VS docutron

Compare deep-text-recognition-benchmark vs docutron 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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docutron

Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents. (by louisbrulenaudet)
cv2 detecron2 Detection Document Legal Legaltech legaltools llm Machine Learning NLP OCR ocr-recognition preprocessing
Source Code
github.com
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deep-text-recognition-benchmark docutron
2 2
3,630 17
1.0% -
0.0 5.8
2 months ago 7 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
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.

docutron

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

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

unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

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

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

mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox

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

awesome-ocr

videocr-PaddleOCR - Extract hardcoded subtitles from videos using machine learning

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

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

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.

Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

deep-text-recognition-benchmark vs detectron2 docutron vs unstructured deep-text-recognition-benchmark vs EasyOCR docutron vs genalog deep-text-recognition-benchmark vs mmocr docutron vs document-ai-samples deep-text-recognition-benchmark vs awesome-ocr docutron vs videocr-PaddleOCR deep-text-recognition-benchmark vs doctr docutron vs ocrpy deep-text-recognition-benchmark vs Machine-Learning-Cyrillic-Classifier docutron vs Multi-Type-TD-TSR