SROIE
A dataset from the ICDAR 2019 competition targeting OCR and information extraction tasks on scanned English receipts. It requires extracting four key fields: merchant name, date, address, and total amount.
Timeline (last 90 days)
Common public evaluation benchmarks in the OCR field include FunSD (a form-understanding dataset), CORD (an Indonesian receipt dataset), SROIE (scanned receipt information extraction), and the ICDAR series competition data.
The study uses three document extraction benchmark datasets: FUNSD, CORD, and SROIE.
SROIE is the ICDAR 2019 competition dataset, targeting English scanned receipts and requiring extraction of four key fields: merchant name, date, address, and total amount.
All Facts (3)
Common public evaluation benchmarks in the OCR field include FunSD (a form-understanding dataset), CORD (an Indonesian receipt dataset), SROIE (scanned receipt information extraction), and the ICDAR series competition data.
50%UnverifiedThe study uses three document extraction benchmark datasets: FUNSD, CORD, and SROIE.
50%UnverifiedSROIE is the ICDAR 2019 competition dataset, targeting English scanned receipts and requiring extraction of four key fields: merchant name, date, address, and total amount.
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