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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- legal |
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pretty_name: The Street View House Numbers (SVHN) Dataset |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset card for SVHN |
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The Street View House Numbers (SVHN) dataset serves as a real-world image dataset designed for the development of machine learning and object recognition algorithms, characterized by minimal requirements on data preprocessing and formatting. Similar in essence to MNIST, featuring small cropped digits, SVHN surpasses MNIST by an order of magnitude in labeled data, comprising over 600,000 digit images. Unlike MNIST, SVHN tackles a considerably more challenging and unsolved real-world problem—recognizing digits and numbers within natural scene images. This dataset is derived from house numbers captured in Google Street View images. |
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## Maintenance |
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```bash |
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GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/MuGeminorum/svhn |
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``` |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("MuGeminorum/svhn") |
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for item in dataset['train']: |
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print(item) |
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``` |
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## Mirror |
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<https://www.modelscope.cn/datasets/MuGeminorum/svhn> |
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## Reference |
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<a href="http://ufldl.stanford.edu/housenumbers">The Street View House Numbers (SVHN) Dataset</a> |
