3 ms·
"MNIST"? accuracy - but of what? what's this about?
by _a_a_a_ 3y ago
"MNIST"?
accuracy - but of what?
what's this about?
- simonw 3y agoMNIST is a classic image classification exercise - a dataset of 60,000 training images and 10,000 testing images where each image is a handwritten numeral as a 28x28 pixel grayscale image. The challenge is to build a computer vision model that can tell which numeral each handwritten digit represents. https://en.wikipedia.org/wiki/MNIST_database https://en.wikipedia.org/wiki/MNIST_database 78% accuracy on a solution is pretty bad, but achieving it just using GZIP is a very neat hack.
- _a_a_a_ 3y agothank you
- Detrytus 3y agoWhat's the average human performance for this task?
- burnished 3y agoI don't know off hand, but go take a look at the images - I would expect near 100%.
- IcyWindows 3y agoSadly,there are several errors in the labeled data, so no one should get 100%. See https://labelerrors.com/ https://labelerrors.com/
- burnished 3y agoJust looking at a few of those I think I see them mostly as MNIST reports them? But yes, no one could get 100% due to ambiguity. Very neat site though, I appreciate you showing that to me