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Dataset Card for MNIST
Dataset Details
Dataset Description
The MNIST database is a large collection of handwritten digits. It has a training set of 60,000 examples, and a test set of 10,000 examples.
Dataset Sources
- Homepage: https://paperswithcode.com/dataset/mnist#:~:text=The%20MNIST%20database%20(Modified%20National,test%20set%20of%2010%2C000%20examples.
Dataset Structure
Total images: 70,000
Splits:
Train: 60,000 images
Test: 10,000 images
Classes (labels): 10 categories
Image specs: 28x28 pixels, grayscale
Example Usage
Below is a quick example of how to load this dataset via the Hugging Face Datasets library.
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("randall-lab/mnist", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/mnist", split="test", trust_remote_code=True)
# Access a sample from the training set
example = dataset[0]
image = example["image"]
label = example["label"]
image.show() # Display the image
print(f"Label: {label}")
Citation
BibTeX:
@misc{lecun1998mnist, author={Yann LeCun and Corinna Cortes and Christopher J.C. Burges}, title={The MNIST database of handwritten digits}, year={1998}, url={http://yann.lecun.com/exdb/mnist/} }
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