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README.md
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datasets:
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- dmitva/the-mnist-database
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inference: true
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---
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The MNIST OCR (Optical Character Recognition) model is a deep learning model trained to recognise and classify handwritten digits from 0 to 9. This model is trained on the MNIST dataset, which consists of 60,000 small square 28×28 pixel grayscale images of handwritten single digits, making it highly accurate for recognising written, isolated digits in a similar style to those found in the training set.
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datasets:
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- dmitva/the-mnist-database
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inference: true
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widget:
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- src: https://miro.medium.com/v2/resize:fit:720/format:webp/1*w7pBsjI3t3ZP-4Gdog-JdQ.png
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The MNIST OCR (Optical Character Recognition) model is a deep learning model trained to recognise and classify handwritten digits from 0 to 9. This model is trained on the MNIST dataset, which consists of 60,000 small square 28×28 pixel grayscale images of handwritten single digits, making it highly accurate for recognising written, isolated digits in a similar style to those found in the training set.
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