The standard MNIST dataset, preprocessed with 12 permutations for lower dimensionality, fewer categories, and smaller data types, stored as numpy files. For use with really tiny models.
- Original dimensionality (28x28,
original_28x28
) - 14x14 dimensionality (14x14,
14x14
, generated with max pooling.) - 7x7 dimensionality (7x7,
7x7
, generated with max pooling.)
binary_digits_binary_pixels
- Only one and zero digits, with all pixel values either a 1 or 0, rounded pixel/255.
binary_digits_all_pixels
- Only one and zero digits, original pixel values (0-255).
all_digits_binary_pixels
- All digits 0-9, with all pixel values either a 1 or 0, rounded pixel/255.
all_digits_all_pixels
- Normal MNIST
I made this for my own personal use, but feel free to use it.
I created all possible combinations, so don't mind if some don't seem necessary.
All of the values are stored as numpy int16
16 bit integers for uniformity, but can be easily converted.