Mnist
Hugging FaceDataset Card for MNIST Dataset Summary The MNIST dataset consists of 70,000 28x28 black-and-white images of handwritten digits extracted from two NIST databases. There are 60,000 images in the training dataset and 10,000 images in the validation dataset, one class per digit so a total of 10 classes, with 7,000 images (6,000 train images and 1,000 test images) per class. Half of the image were drawn by Census Bureau employees and the other half by high school students… See the full description on the dataset page: https://huggingface.co/datasets/ylecun/mnist.
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Data preview
500 rows · 2 columns · showing first 12| # | image text | label integer |
|---|---|---|
| 1 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75518CF29550> | 5 |
| 2 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF95E50> | 0 |
| 3 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF95090> | 4 |
| 4 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15810> | 1 |
| 5 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15A70> | 9 |
| 6 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15810> | 2 |
| 7 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15A70> | 1 |
| 8 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15810> | 3 |
| 9 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15A70> | 1 |
| 10 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15810> | 4 |
| 11 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15A70> | 3 |
| 12 | <PIL.PngImagePlugin.PngImageFile image mode=L size=28x28 at 0x75513FF15810> | 5 |
Auto-generated charts
Mnist: 500 rows by 2 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Charts
Total label by image
Top image values ranked by summed label.
Distribution of label
Histogram of label values.
label by image
Spread of label across image groups.
Interesting queries to try
Columns
- image categorical
- label numeric