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  # Synth-JDoc
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- [Paper]() | [Code](https://github.com/llm-jp/synth-jdoc)
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  **Synth-JDoc** is a dataset of synthetic Japanese document images generated using HTML/CSS.
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  - 0: No noise, 1: scan like noise, 2: Noise by [Augraphy](https://github.com/sparkfish/augraphy)
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- This dataset was introduced in our paper: [Synth-JDoc: Synthesizing a Japanese Document Image Dataset for OCR with Diverse Layouts and Embedded Images]().
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  The code used to generate this dataset is available at our GitHub repository: [https://github.com/llm-jp/synth-jdoc](https://github.com/llm-jp/synth-jdoc)
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  # Synth-JDoc
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+ [Paper](https://link.springer.com/chapter/10.1007/978-3-032-36033-5_15) | [Code](https://github.com/llm-jp/synth-jdoc)
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  **Synth-JDoc** is a dataset of synthetic Japanese document images generated using HTML/CSS.
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  - 0: No noise, 1: scan like noise, 2: Noise by [Augraphy](https://github.com/sparkfish/augraphy)
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+ This dataset was introduced in our paper: [Synth-JDoc: Synthesizing a Japanese Document Image Dataset for OCR with Diverse Layouts and Embedded Images](https://link.springer.com/chapter/10.1007/978-3-032-36033-5_15).
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  The code used to generate this dataset is available at our GitHub repository: [https://github.com/llm-jp/synth-jdoc](https://github.com/llm-jp/synth-jdoc)
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