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SVHN Preprocessed Fragments
2D Classification
Aesthetics
|...
许可协议: CC-BY-SA 4.0

Overview

Context

SVHN is a real-world image dataset.

Fragments of this dataset were preprocessed:

  • fields of photos that do not contain digits were cut off;
  • the photos were formatted to the standard 32X32 size;
  • three color channels were converted into one channel (grayscaled);
  • each of the resulting images was represented as an array of numbers;
  • the data were converted into .csv files.

Content

  • 64000 32x32 greyscaled images of number photos with 1-5 digits (represented as arrays).
  • 11 categories of labels (ten "digit" categories and one "empty character" category).
  • Information about file names in the original dataset.

Acknowledgements

The original data contains a notice "for non-commercial use only".

Inspiration

Image recognition and classification is a huge part of machine learning practice. In addition, this data is based on real photos.

数据概要
数据格式
image,
数据量
12
文件大小
124.07MB
发布方
Olga Belitskaya
| 数据量 12 | 大小 124.07MB
SVHN Preprocessed Fragments
2D Classification
Aesthetics
许可协议: CC-BY-SA 4.0

Overview

Context

SVHN is a real-world image dataset.

Fragments of this dataset were preprocessed:

  • fields of photos that do not contain digits were cut off;
  • the photos were formatted to the standard 32X32 size;
  • three color channels were converted into one channel (grayscaled);
  • each of the resulting images was represented as an array of numbers;
  • the data were converted into .csv files.

Content

  • 64000 32x32 greyscaled images of number photos with 1-5 digits (represented as arrays).
  • 11 categories of labels (ten "digit" categories and one "empty character" category).
  • Information about file names in the original dataset.

Acknowledgements

The original data contains a notice "for non-commercial use only".

Inspiration

Image recognition and classification is a huge part of machine learning practice. In addition, this data is based on real photos.

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