clovaai/synthtiger
Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021
This tool generates highly realistic synthetic text images, which are crucial for training and evaluating Optical Character Recognition (OCR) models. You provide a list of words or sentences, along with fonts and image backgrounds, and it produces diverse text images and their corresponding labels. OCR researchers and developers use this to create large, varied datasets for improving their text recognition systems, especially when real-world data is scarce or expensive to annotate.
573 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to create a large, customized dataset of text images for training and benchmarking OCR models, especially for specific styles, languages, or challenging conditions.
Not ideal if you're looking for an off-the-shelf OCR solution, as this tool focuses solely on generating synthetic training data rather than performing text recognition itself.
Stars
573
Forks
108
Language
Python
License
MIT
Category
Last pushed
Jun 14, 2024
Commits (30d)
0
Dependencies
13
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/clovaai/synthtiger"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
ocampor/image-quality
Image quality is an open source software library for Image Quality Assessment (IQA).
idealo/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
hzwer/ICCV2019-LearningToPaint
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
onuralpszr/GFPGAN-ncnn-vulkan
[WIP] NCNN with Vulkan implementation of GFPGAN aims at developing Practical Algorithms for...
truskovskiyk/nima.pytorch
NIMA: Neural IMage Assessment