BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset. (arXiv:2303.05325v3 [cs.CV] UPDATED)

While strides have been made in deep learning based Bengali Optical Character
Recognition (OCR) in the past decade, the absence of large Document Layout
Analysis (DLA) datasets has hindered the application of OCR in document
transcription, e.g., transcribing historical documents and newspapers.
Moreover, rule-based DLA systems that are currently being employed in practice
are not robust to domain variations and out-of-distribution layouts. To this
end, we present the first multidomain large Bengali Document Layout Analysis
Dataset: BaDLAD. This dataset contains …

analysis application arxiv character recognition dataset datasets deep learning documents newspapers ocr optical character recognition recognition systems transcription