kensanata/numbers
Handwritten digits, a bit like the MNIST dataset.
This project provides two distinct datasets of handwritten and machine-printed digits, totaling over 800,000 images, including a unique collection of Swiss handwriting. It offers raw image files of digits, some with demographic metadata, for training and testing machine learning models. Researchers, data scientists, and educators working on optical character recognition or image classification tasks would find this useful.
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Use this if you need a large, diverse dataset of digit images, especially if you are interested in regional handwriting variations or working with real-world document data that might include both handwritten and printed numbers.
Not ideal if you require a perfectly clean, uniformly distributed dataset exclusively of high-quality handwritten digits with precise author information, as some sets include printed digits, miscategorizations, or lack metadata.
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Jun 27, 2020
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