Datasets for Computer Vision (1)

(Modified National Institute of Standards and Technology)(1998):

• has the 70,000 handwritten digits[0~9] by 28x28 pixels each. *60,000 for train and 10,000 for test.


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  (2) in PyTorch.

(2019):

• has 120,000 handwritten digits[0~9] by 28x28 pixels each. *60,000 for train and 60,000 for test.


• is an extended MNIST. *I don't know what Q of QMNIST means.


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  (4) .

(2018):

• has the cursive style Japanese characters splitted into 3 datasets(Kuzushiji-MNIST, Kuzushiji-49 and Kuzushiji-Kanji):
  *Memos:
  
  
  
  
  • 
    Kuzushiji-MNIST has the balanced 70,000 Hiragana letters by 28x28 pixels each.
  
  
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    Kuzushiji-49 has the imbalanced 270,912 characters(Hiragana characters and Hiragana iteration marks) by 28x28 pixels each.
  
  
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    Kuzushiji-Kanji has the imbalanced 140,424 Kanji characters by 64x64 pixels each.
  
  
  
  
  
  



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(2015):

• has 10,000 videos by 64x64 pixels each. *Each video has 20 frames with 2 moving digits.


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