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Risultati della ricerca
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2023
Dataset
DeezyMatch training set for OCR
Optical character recognition (OCR) is the process of automatically transcribing text from images. The presence of OCR-induced errors in digitised text is a common problem in the digital humanities. OCR errors are usually due to the misrecognition of characters, such as "h" recognised as "b", or "c" recognised as "o".... -
2022
Dataset
Stockton Herald, South Durham and Cleveland Advertiser
Stockton Herald, South Durham and Cleveland Advertiser. (1858 - 1918) was a weekly newspaper which has been digitised by the British Library for the Living with Machines projectBritish Library
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2022
Dataset
Darlington & Richmond Herald
Darlington & Richmond Herald was a weekly newspaper which has been digitised by the British Library for the Living with Machines projectBritish Library
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2022
Dataset
Colne Valley Guardian
Colne Valley Guardian was a weekly newspaper which has been digitised by the British Library for the Living with Machines projectBritish Library
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2022
Dataset
Widnes Examiner
Widnes Examiner (1876-1920) was a weekly newspaper which has been digitised by the British Library for the Living with Machines project.British Library
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2022
Dataset
The Runcorn Examiner
The Runcorn Examiner (1870-1954) was a weekly newspaper and years 1870-1920 have been digitised by the British Library for the Living with Machines project.British Library
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2022
Dataset
Warrington Examiner
Warrington Examiner (1869-1901) was a weekly newspaper which has been digitised by the British Library for the Living with Machines project.British Library
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2022
Dataset
Glasgow Courier
Glasgow Courier was a thrice weekly/bi-weekly newspaper which has been digitised by the British Library for the Living with Machines projectBritish Library
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2022
Dataset
Nuneaton Times
Nuneaton Times was a weekly newspaper which has been digitised by the British Library for the Living with Machines project.British Library
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2022
Dataset
Birkenhead News
Birkenhead News was a weekly newspaper which has been digitised by the British Library for the Living with Machines projectBritish Library