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English(EN) Persian Pixel: A large-scale synthetic OCR dataset for Persian language

新的合成数据集提升波斯语OCR能力

研究人员推出了Persian Pixel,一个旨在提高波斯语光学字符识别(OCR)能力的大规模合成数据集。该数据集包含超过343,000个图像-文本对,使用SynthOCR-Gen框架生成,以准确模拟波斯语脚本的复杂性,包括连写连接和风格变化。Persian Pixel旨在克服标注数据的稀缺性,从而能够训练TrOCR和Donut等先进的OCR模型,并推动波斯语文档分析的发展。 AI

影响 该数据集可以显著提高AI处理和理解波斯语文本的能力,有助于历史文献的数字化和分析。

排序理由 该项目是一篇介绍特定语言OCR新数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的合成数据集提升波斯语OCR能力

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该项目是一篇介绍特定语言OCR新数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pouria Mahdi, Haq Nawaz Malik ·

    Persian Pixel:波斯语大规模合成OCR数据集

    arXiv:2607.20385v1 Announce Type: cross Abstract: Optical Character Recognition (OCR) for Persian remains substantially less mature than for Latin-script languages despite Persian being spoken by more than 110 million people across multiple countries. This gap arises from two fun…