Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
100K - 1M
Tags:
OCR
Handwriting
Character Recognition
Grayscale Images
ASCII Labels
Optical Character Recognition
License:
Update README.md
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README.md
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# AlphaNum Dataset
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## Dataset Summary
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The AlphaNum dataset, created by Louis Rädisch, is a collection of handwritten characters and digits intended for the use in Optical Character Recognition (OCR) tasks. This dataset is a compilation from various sources and includes labels from 0-35, where 0-25 represent the letters A-Z and 26-35 represent the digits 0-9. The images from the MNIST dataset included have been color inverted.
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## Dataset Structure
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### Data Instances
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# AlphaNum Dataset
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## Dataset Summary
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The AlphaNum dataset, created by Louis Rädisch, is a collection of handwritten grayscale characters and digits of the size 28x28 intended for the use in Optical Character Recognition (OCR) tasks. This dataset is a compilation from various sources and includes labels from 0-35, where 0-25 represent the letters A-Z and 26-35 represent the digits 0-9. The images from the MNIST dataset included have been color inverted.
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To bring together the different datasets, vision transformer Models have been fine tuned to further increase the accuracy of the data. For instance the "A-Z handwritten alphabets" had no seperation between big and small letters.
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## Sources:
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1) https://github.com/sueiras/handwritting_characters_database
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2) mnist
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3) https://www.kaggle.com/datasets/sachinpatel21/az-handwritten-alphabets-in-csv-format
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## Dataset Structure
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### Data Instances
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