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MNIST_train_test_set.hdf5

<div> <div> <div> <p>The MNIST_784 dataset is a widely used machine learning benchmark dataset. It&nbsp;consists of 60,000 training&nbsp;and 10,000 test&nbsp;grayscale images of handwritten digits&nbsp;ranging from 0 to 9, making it visually straightforward and easy to work with. Moreover, each image is&nbsp;28x28 pixels in size, resulting in a total of 784 dimensions when flattened, allowing researchers to explore&nbsp;algorithms in the context of high-dimensional data.</p> </div> </div> </div>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
8
Access
20
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
July 16, 2024
License
cc-by-4.0
DOI
10.5281/zenodo.12759283

Scored with release 0.9.0

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