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SDL: New data generation tools for full-level annotated document layout

arXiv 2106.15117 ↗First posted 29 Jun 2021cs.CVcited by 0

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Abstract (arXiv)

We present a novel data generation tool for document processing. The tool focuses on providing a maximal level of visual information in a normal type document, ranging from character position to paragraph-level position. It also enables working with a large dataset on low-resource languages as well as providing a mean of processing thorough full-level information of the documented text. The data generation tools come with a dataset of 320000 Vietnamese synthetic document images and an instruction to generate a dataset of similar size in other languages. The repository can be found at: https://github.com/tson1997/SDL-Document-Image-Generation

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 7 of its 10 references that are in the map. First posted on arXiv 29 Jun 2021.

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References · 7

  1. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,625
  2. 2017Mask R-CNNcited by 7,266
  3. 2016Synthetic Data for Text Localisation in Natural Imagescited by 396
  4. 2019PubLayNet: largest dataset ever for document layout analysiscited by 349
  5. 2019Character Region Awareness for Text Detectioncited by 274
  6. 2020UnrealText: Synthesizing Realistic Scene Text Images from the Unreal Worldcited by 43
  7. 2020IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documentscited by 16

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