[KongchangAI]
BenchmarkForm Understanding in Noisy Scanned Documents

FUNSD

A widely used benchmark dataset in document information extraction. It contains scanned form images with annotations covering text regions, semantic field roles, and inter-field relationships. The dataset is characterized by a relatively high level of OCR noise.

Timeline (last 90 days)

Oct 6

Different datasets such as FUNSD, CORD, and DocVQA do not have unified definitions of annotation granularity and boundaries.

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Sep 17

The study uses three document extraction benchmark datasets: FUNSD, CORD, and SROIE.

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Sep 9

FUNSD (Form Understanding in Noisy Scanned Documents) is a dataset specifically designed for form understanding.

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