Extract MNIST handwritten digits dataset binary file into bmp images

Last update: May 24, 2021

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Overview

MNIST-dataset-extractor

Extract MNIST handwritten digits dataset binary file into bmp images

More info at http://yann.lecun.com/exdb/mnist/

Dependencies

numpy
opencv

To install them in conda environment

conda env update --file requirements.yml

usage

python3 main.py filename output_folder

arguments:
  filename       File name to extract
  output_folder  Folder to extract files in

Download

Already extracted images can be downloaded at releases

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Releases(dataset)

dataset(May 10, 2021)

7z files contain same data as zip files but more compressed
Source code(tar.gz)
Source code(zip)
test_dataset.7z(1.43 MB)
test_dataset.zip(12.59 MB)
training_dataset.7z(8.56 MB)
training_dataset.zip(76.01 MB)

Owner

Omar Mostafa

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Extract MNIST handwritten digits dataset binary file into bmp images

Related tags

Overview

MNIST-dataset-extractor

Dependencies

usage

Download

You might also like...

An image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testingAn image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testing

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Releases(dataset)

dataset(May 10, 2021)

Owner

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