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On November 25, 2024 at 3:02:45 PM UTC, Gravatar admin:
  • Changed title to CIFAR-10 Dataset (previously CIFAR-10 dataset)


  • Set author of CIFAR-10 Dataset to Anonymous authors (previously Van den Oord et al.)


  • Updated description of CIFAR-10 Dataset from

    The CIFAR-10 dataset is a well-known collection of images used for image classification tasks, containing 60,000 32x32 color images in 10 different classes. The model provides interpretations demonstrating the parts of objects in the images that contribute to classification, including images that have undergone transformations.
    to
    The CIFAR-10 dataset consists of 60,000 32x32 color images in 10 classes, with 6,000 images per class. It is used in this paper to evaluate and demonstrate the proposed adversarial training methods.


  • Changed value of field defined_in to in CIFAR-10 Dataset


  • Changed value of field landing_page to http://www.cs.toronto.edu/~kriz/cifar.html in CIFAR-10 Dataset


  • Deleted resource Original Metadata from CIFAR-10 Dataset



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