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README.md
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@@ -26,7 +26,7 @@ In Tiny ImageNet, there are 100,000 images divided up into 200 classes. Every im
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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:
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Classes: 200 categories
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- **Train:** 100,000 images
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- **Validation:** 10,000 images
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- **Test:** 10,000 images
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Image specs: JPEG format, 64×64 pixels, RGB
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# Load the dataset
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dataset = load_dataset("randall-lab/tiny-imagenet", split="train", trust_remote_code=True)
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# dataset = load_dataset("randall-lab/tiny-imagenet", split="validation", trust_remote_code=True)
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# dataset = load_dataset("randall-lab/tiny-imagenet", split="test", trust_remote_code=True)
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# Access a sample from the dataset
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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: 110,000
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Classes: 200 categories
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- **Train:** 100,000 images
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- **Test:** 10,000 images
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Image specs: JPEG format, 64×64 pixels, RGB
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# Load the dataset
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dataset = load_dataset("randall-lab/tiny-imagenet", split="train", trust_remote_code=True)
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# dataset = load_dataset("randall-lab/tiny-imagenet", split="test", trust_remote_code=True)
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# Access a sample from the dataset
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