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  ### Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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- In Tiny ImageNet, there are 100,000 images divided up into 200 classes. Every image in the dataset is downsized to a 64×64 colored image. For every class, there are 500 training images, 50 validating images, and 50 test images.
 
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  - **License:** CC BY 4.0
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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- Total images: 100,000
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  Classes: 200 categories
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  Splits:
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- - **Test:** 10,000 images
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  Image specs: JPEG format, 64×64 pixels, RGB
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  ### Dataset Description
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  <!-- Provide a longer summary of what this dataset is. -->
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+ In Tiny ImageNet-C, there are 75,109 corrupted images derived from the original Tiny ImageNet dataset. The images are affected by two different corruption types at five severity levels.
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  - **License:** CC BY 4.0
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+ Total images: 75,109
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  Classes: 200 categories
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  Splits:
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+ - **Test:** 75,109 images
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  Image specs: JPEG format, 64×64 pixels, RGB
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