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datasets's Introduction

Datasets: a collection of datasets

List of datasets:

  • Caltech-101 (subdataset containing only bikes, cars and faces)
  • Digits (simple handwritten digits dataset with binary values)
  • DigitsX (variation of Digits with multivalued pixels and slight gaussian blur)
  • Four-by-four (artificial dataset for testing)
  • Olivetti (AT&T Bell Labs faces dataset)
  • Olivetti 3-bit (Olivetti dataset downscaled to 3-bit resolution)
  • Olivetti Big (AT&T Bell Labs faces with original size)
  • Olivetti Padded Uniform (Olivetti dataset with padded left and right borders so that width and height are divisible by four; paddings pixel values are uniformly distributed)
  • Olivetti Small (Olivetti dataset smaller size)
  • MNIST
  • Self driving dataset (https://github.com/felipessalvatore/self_driving_data)

Most datasets have their original images split into its categories by a folder with its name indicating its class.

A compiled GoSPN dataset file in .data format is included in every dataset for use in GoSPN.

For MNIST, we use GoMNIST to parse the dataset. We select only a portion of MNIST such that the selected digits are uniformly distributed between 0 and 9.

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