METATR is a new benchmark dataset and evaluation framework for ATR covering 29 languages, multiple scripts and layouts, with standardized prompting and a dynamic extensible protocol.
International Journal on Document Analysis and Recognition5, 39–46 (11 2002)
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Introduces B-MOD dataset of 19,728 mobile device photos of documents with precise text line annotations and a neural baseline showing high error rates on harder images.
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METATR: A Multilingual, Evolving Benchmark for Automatic Text Recognition
METATR is a new benchmark dataset and evaluation framework for ATR covering 29 languages, multiple scripts and layouts, with standardized prompting and a dynamic extensible protocol.