deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Run deep learning models to recognize text in images using a structured framework for training and evaluation.
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deep-text-recognition-benchmark has 3.9k stars on GitHub. It has been forked 1.1k times. deep-text-recognition-benchmark is written mainly in Jupyter Notebook. It has been in active development since 2019. deep-text-recognition-benchmark is available under the Apache-2.0 license. Its main topics are crnn, deep-learning, grcnn, iccv2019.
What is deep-text-recognition-benchmark?
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Is deep-text-recognition-benchmark open source?
deep-text-recognition-benchmark is an open-source project. It is released under the Apache-2.0 license.
Is deep-text-recognition-benchmark free?
Yes. deep-text-recognition-benchmark is free and open source — you can use, modify and self-host it.
What license does deep-text-recognition-benchmark use?
deep-text-recognition-benchmark is available under the Apache-2.0 license.
What language is deep-text-recognition-benchmark written in?
deep-text-recognition-benchmark is written mainly in Jupyter Notebook.
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