MNIST: The Benchmark for Handwritten Digit Recognition

What Is MNIST

MNIST, a benchmark dataset for handwritten digit recognition, is available on AIOZ AI V1—the collaborative AI marketplace powered by AIOZ DePIN.

It features grayscale images of the digits 0–9, each sized 28×28 pixels, and is widely used for validating computer vision models.

Try it on AIOZ AI V1:

https://aiozai.network/datasets/b995f45c-f232-4d40-b69b-955f0be988d9

What’s Inside

• 60,000 training images
• 10,000 test images
• 10 balanced classes (digits 0–9)

Each sample in this training set includes an image and its corresponding numeric label.

Why It’s Useful

MNIST offers a quick, standardized way to:

• Prototype and compare image classification architectures
• Demonstrate the fundamentals of convolutional neural networks
• Test new ideas before scaling to larger datasets

License

Released under the MIT License.

Start Exploring

Kick-start your vision project today—unlock MNIST on AIOZ AI V1 and integrate it directly into your training pipeline.

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