TextRecognitionDataGenerator VS Synthea-Test-Data

Compare TextRecognitionDataGenerator vs Synthea-Test-Data and see what are their differences.

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TextRecognitionDataGenerator Synthea-Test-Data
1 1
3,043 2
- -
5.1 4.1
3 months ago 8 months ago
Python
MIT License 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.

TextRecognitionDataGenerator

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

Synthea-Test-Data

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

What are some alternatives?

When comparing TextRecognitionDataGenerator and Synthea-Test-Data 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.

BlenderProc - A procedural Blender pipeline for photorealistic training image generation

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.