3 datasets found
  1. h

    dataset_copied

    • huggingface.co
    Updated Jun 25, 2023
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    wenyongxu (2023). dataset_copied [Dataset]. https://huggingface.co/datasets/wyxu/dataset_copied
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 25, 2023
    Authors
    wenyongxu
    Description

    The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.

  2. a

    CIFAR-10 (Canadian Institute for Advanced Research)

    • academictorrents.com
    bittorrent
    Updated Oct 11, 2015
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    Alex Krizhevsky and Vinod Nair and Geoffrey Hinton (2015). CIFAR-10 (Canadian Institute for Advanced Research) [Dataset]. https://academictorrents.com/details/463ba7ec7f37ed414c12fbb71ebf6431eada2d7a
    Explore at:
    bittorrent(170052171)Available download formats
    Dataset updated
    Oct 11, 2015
    Dataset authored and provided by
    Alex Krizhevsky and Vinod Nair and Geoffrey Hinton
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.

  3. O

    CIFAR-10

    • opendatalab.com
    • tensorflow.org
    • +3more
    zip
    Updated Apr 8, 2009
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    Massachusetts Institute of Technology (2009). CIFAR-10 [Dataset]. https://opendatalab.com/OpenDataLab/CIFAR-10
    Explore at:
    zip(1143599518 bytes)Available download formats
    Dataset updated
    Apr 8, 2009
    Dataset provided by
    New York University
    Massachusetts Institute of Technology
    Description

    The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
wenyongxu (2023). dataset_copied [Dataset]. https://huggingface.co/datasets/wyxu/dataset_copied

dataset_copied

wyxu/dataset_copied

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 25, 2023
Authors
wenyongxu
Description

The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.

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