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Dataset Card for notMNIST
Dataset Details
Dataset Description
The notMNIST dataset is a image recognition dataset of font glypyhs for the letters A through J useful with simple neural networks.
Dataset Sources
Dataset Structure
Total images: 70,000
Classes: 10 categories
Splits:
Train: 60,000 images
Test: 10,000 images
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/notmnist", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/notmnist", split="test", trust_remote_code=True)
# Access a sample from the dataset
example = dataset[0]
image = example["image"]
label = example["label"]
image.show() # Display the image
print(f"Label: {label}")
Citation
BibTeX:
@misc{bulatov2011notmnist, author={Yaroslav Bulatov}, title={notMNIST dataset}, year={2011}, url={http://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html} }
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