HASY
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HASY dataset
Add information how "compressible" the information is. * Raw data: (168233 images *(32*32) pixel / image * 8 bit / pixel) * (1/8 byte / bit) * (1/10**6 MB /...
* MNIST * http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ * [EMNIST](https://www.reddit.com/r/MachineLearning/comments/5v5if4/r_emnist_an_extension_of_mnist_to_handwritten/)
Due to extremely similar classes, the top-3 accuracy should also be reported.
Up to my knowledge, it is not well-studied how models are influenced by label noise. Thus an classification challenge, where the training data labels are randomly changed could be interesting.
In the following list, "predicted" is what the label should be ``` Predicted=I or |, true=\bot, hasy-data/v2-120965.png Predicted=M, true=\fint, hasy-data/v2-90580.png Predicted=8, true=\circ, hasy-data/v2-85959.png Predicted=\pi, true=\epsilon, hasy-data/v2-38782.png Predicted=\sigma, true=\mid, hasy-data/v2-98167.png Predicted=m,...