Framework and Model Analysis on Bengali Document Layout Analysis Dataset: BaDLAD

Kazi Reyazul Hasan, Mubasshira Musarrat, Sadif Ahmed, Shahriar Raj
8/15/2023
cs.CVcs.LG

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Abstract

This study focuses on understanding Bengali Document Layouts using advanced computer programs: Detectron2, YOLOv8, and SAM. We looked at lots of different Bengali documents in our study. Detectron2 is great at finding and separating different parts of documents, like text boxes and paragraphs. YOLOv8 is good at figuring out different tables and pictures. We also tried SAM, which helps us understand tricky layouts. We tested these programs to see how well they work. By comparing their accuracy and speed, we learned which one is good for different types of documents. Our research helps make sense of complex layouts in Bengali documents and can be useful for other languages too.

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Cite this paper

@article{hasan2023framework,
  title  = {Framework and Model Analysis on Bengali Document Layout Analysis Dataset: BaDLAD},
  author = {Kazi Reyazul Hasan and Mubasshira Musarrat and Sadif Ahmed and Shahriar Raj},
  year   = {2023},
  eprint = {2309.16700},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.16700v1}
}

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