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JustinCignal
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mnist-lenet5-demo

Tasks:

Image Classification

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train · 60k rows

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image imagewidth (px) 28 28	label int64 0 9
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mnist-lenet5-demo

Training set for a small LeNet-5 handwritten-digit classifier used in an interactive browser demo. Derived from the standard MNIST training split (60,000 28x28 grayscale images, digits 0-9), repackaged as a single parquet shard for convenience.

Fields

image: 28x28 grayscale PNG
label: digit, 0-9

Usage

from datasets import load_dataset

ds = load_dataset("JustinCignal/mnist-lenet5-demo")

License

Original MNIST terms apply (Yann LeCun, Corinna Cortes, Christopher J.C. Burges).

Downloads last month: 31

Models trained or fine-tuned on JustinCignal/mnist-lenet5-demo

JustinCignal/lenet5-digit-demo

Image Classification • Updated 4 days ago

image imagewidth (px) 28 28	label int64 0 9
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image imagewidth (px) 28 28	label int64 0 9
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