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  # AlphaNum Dataset
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  ## Abstract
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  The AlphaNum dataset, curated by Louis Rädisch, is an extensive repository of grayscale, handwritten characters and numerals, each of 24x24 pixel dimensions. This dataset is designed to support Optical Character Recognition (OCR) tasks, offering labels that range from 33 to 126, and 999, aligning with ASCII characters from '!' to '~', and 'null', respectively. The 'null' category includes images generated through a noise injection process, resulting in normally distributed light pixels placed randomly.
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  # AlphaNum Dataset
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+ <img src="https://github.com/Lopalp/AlphaOCR-A4/raw/main/Alphanum.png" alt="Alternativer Text">
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  ## Abstract
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  The AlphaNum dataset, curated by Louis Rädisch, is an extensive repository of grayscale, handwritten characters and numerals, each of 24x24 pixel dimensions. This dataset is designed to support Optical Character Recognition (OCR) tasks, offering labels that range from 33 to 126, and 999, aligning with ASCII characters from '!' to '~', and 'null', respectively. The 'null' category includes images generated through a noise injection process, resulting in normally distributed light pixels placed randomly.
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