PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters
Hugging Face has added PP-OCRv6, a 50-language optical character recognition (OCR) model, to its platform. The model can handle a wide range of languages and scripts, from Latin-based alphabets to Chinese characters. It was developed by PaddlePaddle, an open-source deep learning framework. The model's performance improves with parameter size, increasing from 1.5 million parameters to 34.5 million. This allows for more accurate text recognition in various languages.
Hugging Face has added PP-OCRv6, a 50-language optical character recognition (OCR) model, to its platform. The model can handle a wide range of languages and scripts, from Latin-based alphabets to Chinese characters. It was developed by PaddlePaddle, an open-source deep learning framework. The model's performance improves with parameter size, increasing from 1.5 million parameters to 34.5 million. This allows for more accurate text recognition in various languages.
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Why it matters: This matters because it provides a single model that can handle multiple languages and scripts, making it easier for developers to integrate OCR functionality into their applications.
Source: https://huggingface.co/blog/PaddlePaddle/pp-ocrv6
This article was originally published at: https://huggingface.co/blog/PaddlePaddle/pp-ocrv6