MNIST_train_test_set.hdf5
<div> <div> <div> <p>The MNIST_784 dataset is a widely used machine learning benchmark dataset. It consists of 60,000 training and 10,000 test grayscale images of handwritten digits ranging from 0 to 9, making it visually straightforward and easy to work with. Moreover, each image is 28x28 pixels in size, resulting in a total of 784 dimensions when flattened, allowing researchers to explore 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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