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Image classification in Galaxy with MNIST handwritten digits dataset

Kaivan Kamali


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  <dc:creator>Kaivan Kamali</dc:creator>
  <dc:date>2021-04-16</dc:date>
  <dc:description>Credit: Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998

This is a subset of MNIST handwritten digits dataset (http://yann.lecun.com/exdb/mnist/). Training data of composed of 12,000 images of digits 0 to 9. Test data is composed of 6,000 images of digits 0 to 9 (Original dataset has 60,000 training and 10,000 testing images. We are using a subset for a Galaxy tutorial, so the training is not too computationally intensive). Images are grayscale and 28 by 28 pixels. Each pixel has a value between 0 and 255 (0 for color black, 255 for color white, and all other values for different shades of gray).   </dc:description>
  <dc:description>Credit: Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998
http://yann.lecun.com/exdb/mnist/</dc:description>
  <dc:identifier>https://zenodo.org/record/4697906</dc:identifier>
  <dc:identifier>10.5281/zenodo.4697906</dc:identifier>
  <dc:identifier>oai:zenodo.org:4697906</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.4697905</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Galaxy</dc:subject>
  <dc:subject>MNIST</dc:subject>
  <dc:subject>Classification</dc:subject>
  <dc:title>Image classification in Galaxy with MNIST handwritten digits dataset</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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