Papers by Michael Arrigo

1 papers
CAMIO: A Corpus for OCR in Multiple Languages (2022.lrec-1)

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Challenge: CAMIO is a corpus of 70,000 images of machine printed text for optical character recognition (OCR) it covers 35 languages across 24 unique scripts.
Approach: CAMIO is a corpus of annotated multilingual images for optical character recognition . the corpus includes nearly 70,000 images of machine printed text .
Outcome: The corpus includes nearly 70,000 images of machine printed text . most images have been exhaustively annotated for text localization .

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