metadata

license: mit
task_categories:
  - text-classification
language:
  - en
tags:
  - legal
pretty_name: The Street View House Numbers (SVHN) Dataset
size_categories:
  - 10K<n<100K

Dataset card for SVHN

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.

Maintenance

GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/MuGeminorum/svhn
cd svhn

Usage

import os
import zipfile
import requests

def download_file(url, save_path):
    response = requests.get(url, stream=True)
    with open(save_path, 'wb') as file:
        for chunk in response.iter_content(chunk_size=1024):
            if chunk:
                file.write(chunk)

def unzip(zip_file_path, extract_to):
    with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
        for member in zip_ref.infolist():
            zip_ref.extract(member, extract_to)

if not os.path.exists('./data.zip'):
    download_file(
        'https://huggingface.co/datasets/MuGeminorum/svhn/resolve/main/data.zip',
        'data.zip'
    )

if not os.path.exists('./data'):
    unzip('data.zip', './')

Mirror

https://www.modelscope.cn/datasets/MuGeminorum/svhn

Reference

[1] The Street View House Numbers (SVHN) Dataset
[2] https://github.com/MuGeminorum/SVHN-Recognition