Benchmark

DocVQA

Measures: Extractive questions about single scanned document pages (forms, letters, reports, figures); answers scored by ANLS (Average Normalized Levenshtein Similarity) on a hidden test set.

Maintainer
DocVQA organizers: CVC-UAB (Computer Vision Center, Barcelona) and CVIT, IIIT Hyderabad
Introduced
2020
Status
Active
Saturation
Saturated
Typical provenance
Mixed
In scoring set
No

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