mlsanityData to 13 Oct 2026

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

arXiv 2309.16700 ↗First posted 15 Aug 2023cs.CV cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 2 of its 6 references that are in the map. First posted on arXiv 15 Aug 2023.

Builds on

2 of 6 references.

References · 2

  1. 2019PointRend: Image Segmentation as Renderingcited by 439
  2. 2023BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Datasetcited by 13

Built on by

Not cited yet.