phoebetronic/mnist
Publicly available MNIST CSV dataset.
This dataset provides a collection of handwritten digits, making it easier to experiment with and build systems that can recognize numbers. It includes 60,000 images for practice and 10,000 images for testing, where each image is represented as a series of pixel values along with its correct numerical label (0-9). This is ideal for anyone learning about or working on machine learning for image recognition.
No commits in the last 6 months.
Use this if you need a standard, well-understood dataset to train and evaluate algorithms that classify handwritten digits.
Not ideal if you are looking for complex, real-world image datasets beyond simple digit recognition or need images with higher resolution.
Stars
18
Forks
2
Language
—
License
MIT
Category
Last pushed
Oct 27, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/phoebetronic/mnist"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
greydanus/mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep...
potterhsu/SVHNClassifier
A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using...
potterhsu/SVHNClassifier-PyTorch
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep...
kensanata/numbers
Handwritten digits, a bit like the MNIST dataset.
kdexd/digit-classifier
A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.