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Datasets:
Genius-Society
/
svhn

Tasks:
Image Classification
Modalities:
Image
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Languages:
English
Size:
10K - 100K
Tags:
legal
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image
imagewidth (px)
25
876
label
sequence
{ "digit": [ 7 ], "left": [ 60 ], "top": [ 11 ], "width": [ 30 ], "height": [ 36 ] }
{ "digit": [ 1, 2 ], "left": [ 49, 64 ], "top": [ 8, 14 ], "width": [ 15, 24 ], "height": [ 46, 46 ] }
{ "digit": [ 3, 1 ], "left": [ 99, 133 ], "top": [ 26, 36 ], "width": [ 35, 35 ], "height": [ 56, 56 ] }
{ "digit": [ 9 ], "left": [ 23 ], "top": [ 2 ], "width": [ 11 ], "height": [ 19 ] }
{ "digit": [ 1 ], "left": [ 20 ], "top": [ 5 ], "width": [ 6 ], "height": [ 12 ] }
{ "digit": [ 1 ], "left": [ 38 ], "top": [ 5 ], "width": [ 12 ], "height": [ 37 ] }
{ "digit": [ 8, 8, 6 ], "left": [ 88, 98, 107 ], "top": [ 23, 23, 22 ], "width": [ 11, 11, 11 ], "height": [ 21, 21, 21 ] }
{ "digit": [ 1, 7 ], "left": [ 58, 80 ], "top": [ 11, 16 ], "width": [ 19, 30 ], "height": [ 60, 60 ] }
{ "digit": [ 4, 1 ], "left": [ 28, 42 ], "top": [ 4, 3 ], "width": [ 15, 10 ], "height": [ 30, 30 ] }
{ "digit": [ 4 ], "left": [ 21 ], "top": [ 1 ], "width": [ 8 ], "height": [ 19 ] }
{ "digit": [ 3, 8, 8 ], "left": [ 68, 93, 106 ], "top": [ 7, 13, 7 ], "width": [ 21, 14, 15 ], "height": [ 48, 48, 48 ] }
{ "digit": [ 1, 8, 7 ], "left": [ 44, 54, 62 ], "top": [ 12, 11, 8 ], "width": [ 7, 9, 13 ], "height": [ 31, 31, 31 ] }
{ "digit": [ 3, 6 ], "left": [ 43, 62 ], "top": [ 8, 2 ], "width": [ 19, 22 ], "height": [ 37, 37 ] }
{ "digit": [ 5, 9 ], "left": [ 25, 34 ], "top": [ 5, 5 ], "width": [ 8, 9 ], "height": [ 16, 16 ] }
{ "digit": [ 9, 10 ], "left": [ 22, 28 ], "top": [ 7, 7 ], "width": [ 6, 9 ], "height": [ 15, 15 ] }
{ "digit": [ 4, 1 ], "left": [ 22, 33 ], "top": [ 3, 3 ], "width": [ 13, 9 ], "height": [ 23, 23 ] }
{ "digit": [ 1, 6, 5 ], "left": [ 35, 48, 63 ], "top": [ 4, 1, 1 ], "width": [ 14, 15, 15 ], "height": [ 50, 50, 50 ] }
{ "digit": [ 2, 10 ], "left": [ 56, 77 ], "top": [ 13, 11 ], "width": [ 27, 38 ], "height": [ 53, 53 ] }
{ "digit": [ 7, 3 ], "left": [ 22, 39 ], "top": [ 3, 2 ], "width": [ 16, 14 ], "height": [ 26, 26 ] }
{ "digit": [ 4, 8 ], "left": [ 48, 60 ], "top": [ 17, 16 ], "width": [ 11, 14 ], "height": [ 33, 33 ] }
{ "digit": [ 1, 4 ], "left": [ 28, 41 ], "top": [ 5, 4 ], "width": [ 6, 8 ], "height": [ 22, 22 ] }
{ "digit": [ 2, 7, 1, 3 ], "left": [ 23, 42, 56, 67 ], "top": [ 2, 2, 2, 3 ], "width": [ 19, 16, 12, 20 ], "height": [ 26, 26, 26, 26 ] }
{ "digit": [ 9, 4 ], "left": [ 9, 17 ], "top": [ 3, 3 ], "width": [ 9, 11 ], "height": [ 21, 21 ] }
{ "digit": [ 1, 10 ], "left": [ 138, 153 ], "top": [ 35, 26 ], "width": [ 13, 12 ], "height": [ 52, 52 ] }
{ "digit": [ 1, 3, 4 ], "left": [ 33, 43, 53 ], "top": [ 4, 6, 8 ], "width": [ 9, 7, 13 ], "height": [ 36, 36, 36 ] }
{ "digit": [ 1, 2, 3 ], "left": [ 36, 46, 66 ], "top": [ 8, 8, 9 ], "width": [ 9, 16, 18 ], "height": [ 29, 29, 29 ] }
{ "digit": [ 1, 1 ], "left": [ 57, 74 ], "top": [ 11, 16 ], "width": [ 17, 20 ], "height": [ 53, 53 ] }
{ "digit": [ 3, 5, 1 ], "left": [ 137, 155, 167 ], "top": [ 53, 57, 58 ], "width": [ 15, 11, 10 ], "height": [ 30, 30, 30 ] }
{ "digit": [ 4 ], "left": [ 40 ], "top": [ 9 ], "width": [ 22 ], "height": [ 32 ] }
{ "digit": [ 7, 3 ], "left": [ 42, 57 ], "top": [ 12, 14 ], "width": [ 17, 18 ], "height": [ 30, 30 ] }
{ "digit": [ 3, 2 ], "left": [ 46, 64 ], "top": [ 16, 15 ], "width": [ 21, 21 ], "height": [ 30, 30 ] }
{ "digit": [ 1, 4 ], "left": [ 25, 29 ], "top": [ 6, 4 ], "width": [ 6, 8 ], "height": [ 20, 20 ] }
{ "digit": [ 5 ], "left": [ 118 ], "top": [ 25 ], "width": [ 99 ], "height": [ 122 ] }
{ "digit": [ 1, 4, 3 ], "left": [ 20, 26, 30 ], "top": [ 1, 1, 1 ], "width": [ 6, 6, 7 ], "height": [ 21, 21, 21 ] }
{ "digit": [ 2, 7 ], "left": [ 36, 55 ], "top": [ 5, 8 ], "width": [ 21, 19 ], "height": [ 36, 36 ] }
{ "digit": [ 8, 1 ], "left": [ 47, 59 ], "top": [ 13, 13 ], "width": [ 16, 13 ], "height": [ 35, 35 ] }
{ "digit": [ 9 ], "left": [ 30 ], "top": [ 5 ], "width": [ 13 ], "height": [ 25 ] }
{ "digit": [ 1, 9, 1 ], "left": [ 40, 58, 79 ], "top": [ 7, 8, 11 ], "width": [ 15, 19, 14 ], "height": [ 38, 38, 38 ] }
{ "digit": [ 7, 10 ], "left": [ 12, 18 ], "top": [ 3, 3 ], "width": [ 5, 6 ], "height": [ 13, 13 ] }
{ "digit": [ 1, 10 ], "left": [ 32, 41 ], "top": [ 7, 4 ], "width": [ 10, 14 ], "height": [ 34, 34 ] }
{ "digit": [ 2 ], "left": [ 30 ], "top": [ 4 ], "width": [ 20 ], "height": [ 31 ] }
{ "digit": [ 1, 1, 1 ], "left": [ 74, 98, 115 ], "top": [ 15, 24, 17 ], "width": [ 25, 16, 18 ], "height": [ 57, 57, 57 ] }
{ "digit": [ 8, 3 ], "left": [ 38, 55 ], "top": [ 7, 5 ], "width": [ 18, 19 ], "height": [ 30, 30 ] }
{ "digit": [ 2, 1 ], "left": [ 72, 92 ], "top": [ 32, 16 ], "width": [ 29, 23 ], "height": [ 49, 49 ] }
{ "digit": [ 1, 8 ], "left": [ 29, 39 ], "top": [ 4, 3 ], "width": [ 8, 14 ], "height": [ 27, 27 ] }
{ "digit": [ 2, 6 ], "left": [ 13, 28 ], "top": [ 1, 1 ], "width": [ 14, 10 ], "height": [ 17, 17 ] }
{ "digit": [ 9 ], "left": [ 61 ], "top": [ 10 ], "width": [ 27 ], "height": [ 50 ] }
{ "digit": [ 1, 6, 5 ], "left": [ 34, 44, 57 ], "top": [ 8, 7, 8 ], "width": [ 15, 16, 17 ], "height": [ 34, 34, 34 ] }
{ "digit": [ 3, 7, 9 ], "left": [ 30, 46, 59 ], "top": [ 4, 1, 1 ], "width": [ 14, 12, 12 ], "height": [ 34, 34, 34 ] }
{ "digit": [ 4, 6 ], "left": [ 55, 94 ], "top": [ 2, 4 ], "width": [ 36, 34 ], "height": [ 70, 70 ] }
{ "digit": [ 2, 4, 8 ], "left": [ 13, 22, 28 ], "top": [ 1, 1, 1 ], "width": [ 8, 6, 7 ], "height": [ 17, 17, 17 ] }
{ "digit": [ 1, 5, 10 ], "left": [ 58, 69, 83 ], "top": [ 21, 17, 15 ], "width": [ 13, 14, 14 ], "height": [ 33, 33, 33 ] }
{ "digit": [ 4, 5 ], "left": [ 28, 42 ], "top": [ 6, 5 ], "width": [ 14, 16 ], "height": [ 29, 29 ] }
{ "digit": [ 4, 5 ], "left": [ 112, 136 ], "top": [ 25, 14 ], "width": [ 25, 22 ], "height": [ 57, 57 ] }
{ "digit": [ 2, 1 ], "left": [ 18, 30 ], "top": [ 4, 3 ], "width": [ 8, 5 ], "height": [ 14, 14 ] }
{ "digit": [ 2, 4, 7 ], "left": [ 17, 28, 40 ], "top": [ 1, 1, 2 ], "width": [ 12, 10, 10 ], "height": [ 19, 19, 19 ] }
{ "digit": [ 2, 1, 5 ], "left": [ 173, 189, 203 ], "top": [ 27, 27, 34 ], "width": [ 16, 16, 23 ], "height": [ 82, 82, 82 ] }
{ "digit": [ 1, 2 ], "left": [ 38, 50 ], "top": [ 14, 16 ], "width": [ 11, 11 ], "height": [ 26, 26 ] }
{ "digit": [ 1, 9 ], "left": [ 20, 23 ], "top": [ 3, 3 ], "width": [ 4, 7 ], "height": [ 17, 17 ] }
{ "digit": [ 7, 8 ], "left": [ 17, 27 ], "top": [ 1, 1 ], "width": [ 10, 10 ], "height": [ 19, 19 ] }
{ "digit": [ 5, 7 ], "left": [ 26, 36 ], "top": [ 6, 8 ], "width": [ 9, 8 ], "height": [ 20, 20 ] }
{ "digit": [ 1, 3, 6 ], "left": [ 43, 55, 68 ], "top": [ 18, 15, 14 ], "width": [ 14, 16, 21 ], "height": [ 28, 28, 28 ] }
{ "digit": [ 3, 5 ], "left": [ 14, 21 ], "top": [ 2, 1 ], "width": [ 8, 7 ], "height": [ 12, 12 ] }
{ "digit": [ 8 ], "left": [ 52 ], "top": [ 11 ], "width": [ 20 ], "height": [ 32 ] }
{ "digit": [ 1, 2 ], "left": [ 55, 65 ], "top": [ 15, 14 ], "width": [ 17, 21 ], "height": [ 39, 39 ] }
{ "digit": [ 1, 3, 10 ], "left": [ 17, 27, 33 ], "top": [ 4, 1, 3 ], "width": [ 9, 7, 16 ], "height": [ 18, 18, 18 ] }
{ "digit": [ 1, 9, 1, 4 ], "left": [ 35, 53, 68, 75 ], "top": [ 10, 5, 8, 9 ], "width": [ 15, 12, 7, 15 ], "height": [ 41, 41, 41, 41 ] }
{ "digit": [ 2, 4 ], "left": [ 23, 40 ], "top": [ 3, 4 ], "width": [ 13, 13 ], "height": [ 23, 23 ] }
{ "digit": [ 1, 4 ], "left": [ 35, 46 ], "top": [ 7, 7 ], "width": [ 14, 14 ], "height": [ 37, 37 ] }
{ "digit": [ 5 ], "left": [ 45 ], "top": [ 9 ], "width": [ 20 ], "height": [ 36 ] }
{ "digit": [ 5, 3 ], "left": [ 34, 50 ], "top": [ 12, 8 ], "width": [ 15, 13 ], "height": [ 29, 29 ] }
{ "digit": [ 1, 10, 8 ], "left": [ 23, 28, 36 ], "top": [ 6, 7, 4 ], "width": [ 4, 9, 8 ], "height": [ 19, 19, 19 ] }
{ "digit": [ 1, 8 ], "left": [ 36, 45 ], "top": [ 13, 11 ], "width": [ 7, 11 ], "height": [ 18, 18 ] }
{ "digit": [ 3 ], "left": [ 71 ], "top": [ 14 ], "width": [ 15 ], "height": [ 28 ] }
{ "digit": [ 8, 8 ], "left": [ 20, 32 ], "top": [ 2, 2 ], "width": [ 10, 9 ], "height": [ 21, 21 ] }
{ "digit": [ 1, 3, 5 ], "left": [ 63, 78, 91 ], "top": [ 18, 16, 16 ], "width": [ 16, 13, 18 ], "height": [ 41, 41, 41 ] }
{ "digit": [ 2, 8 ], "left": [ 26, 44 ], "top": [ 3, 3 ], "width": [ 18, 18 ], "height": [ 28, 28 ] }
{ "digit": [ 3, 6, 10 ], "left": [ 57, 72, 85 ], "top": [ 3, 13, 26 ], "width": [ 16, 15, 19 ], "height": [ 44, 44, 44 ] }
{ "digit": [ 1, 2, 2 ], "left": [ 81, 98, 122 ], "top": [ 45, 27, 18 ], "width": [ 29, 30, 36 ], "height": [ 46, 46, 46 ] }
{ "digit": [ 4, 1 ], "left": [ 30, 49 ], "top": [ 10, 9 ], "width": [ 19, 9 ], "height": [ 25, 25 ] }
{ "digit": [ 6, 1 ], "left": [ 30, 42 ], "top": [ 4, 3 ], "width": [ 16, 11 ], "height": [ 29, 29 ] }
{ "digit": [ 3, 4 ], "left": [ 19, 29 ], "top": [ 5, 5 ], "width": [ 10, 10 ], "height": [ 15, 15 ] }
{ "digit": [ 9, 10 ], "left": [ 28, 40 ], "top": [ 6, 6 ], "width": [ 14, 14 ], "height": [ 21, 21 ] }
{ "digit": [ 1, 2, 1, 2 ], "left": [ 48, 58, 75, 85 ], "top": [ 17, 14, 13, 11 ], "width": [ 10, 16, 9, 16 ], "height": [ 32, 32, 32, 32 ] }
{ "digit": [ 7, 1 ], "left": [ 28, 36 ], "top": [ 6, 7 ], "width": [ 7, 5 ], "height": [ 24, 24 ] }
{ "digit": [ 6 ], "left": [ 27 ], "top": [ 3 ], "width": [ 11 ], "height": [ 23 ] }
{ "digit": [ 2, 1, 10 ], "left": [ 24, 28, 32 ], "top": [ 5, 5, 4 ], "width": [ 5, 5, 7 ], "height": [ 15, 15, 15 ] }
{ "digit": [ 1, 3 ], "left": [ 23, 29 ], "top": [ 5, 3 ], "width": [ 4, 10 ], "height": [ 18, 18 ] }
{ "digit": [ 3, 1 ], "left": [ 26, 42 ], "top": [ 3, 1 ], "width": [ 16, 13 ], "height": [ 32, 32 ] }
{ "digit": [ 9 ], "left": [ 18 ], "top": [ 1 ], "width": [ 8 ], "height": [ 19 ] }
{ "digit": [ 1, 2 ], "left": [ 43, 47 ], "top": [ 10, 9 ], "width": [ 6, 8 ], "height": [ 22, 22 ] }
{ "digit": [ 2, 4 ], "left": [ 23, 33 ], "top": [ 4, 2 ], "width": [ 9, 8 ], "height": [ 19, 19 ] }
{ "digit": [ 2, 1 ], "left": [ 33, 40 ], "top": [ 11, 11 ], "width": [ 11, 9 ], "height": [ 20, 20 ] }
{ "digit": [ 2, 1 ], "left": [ 22, 29 ], "top": [ 5, 3 ], "width": [ 6, 6 ], "height": [ 23, 23 ] }
{ "digit": [ 3, 1, 9 ], "left": [ 126, 160, 184 ], "top": [ 40, 39, 29 ], "width": [ 45, 39, 35 ], "height": [ 74, 74, 74 ] }
{ "digit": [ 2, 1, 7 ], "left": [ 59, 70, 76 ], "top": [ 24, 20, 13 ], "width": [ 15, 9, 17 ], "height": [ 33, 33, 33 ] }
{ "digit": [ 1, 3 ], "left": [ 52, 66 ], "top": [ 15, 11 ], "width": [ 15, 18 ], "height": [ 36, 36 ] }
{ "digit": [ 4, 9 ], "left": [ 52, 59 ], "top": [ 16, 19 ], "width": [ 9, 10 ], "height": [ 23, 23 ] }
{ "digit": [ 8 ], "left": [ 32 ], "top": [ 15 ], "width": [ 16 ], "height": [ 36 ] }
{ "digit": [ 7, 3 ], "left": [ 158, 165 ], "top": [ 56, 56 ], "width": [ 8, 18 ], "height": [ 31, 31 ] }
End of preview. Expand in Data Studio

Dataset card for SVHN

The Street View House Numbers (SVHN) dataset is a real-world image dataset developed and designed for machine learning and object recognition algorithms, and is characterized by low data preprocessing and formatting requirements. Similar to MNIST, SVHN contains images of small cropped numbers, but in terms of labeled data, SVHN is an order of magnitude larger than MNIST, comprising over 600,000 digital images. Unlike MNIST, SVHN deals with a much more challenging and unsolved real-world problem - recognizing numbers and strings of numbers in natural scene images. The dataset is derived from house numbers captured in Google Street View images.

Usage

By API 

from datasets import load_dataset

ds = load_dataset("Genius-Society/svhn")
for item in ds["train"]:
    print(item)

for item in ds["test"]:
    print(item)

Not By API 

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://www.modelscope.cn/datasets/Genius-Society/svhn/resolve/master/data/svhn.zip',
        'data.zip'
    )

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

Maintenance 

GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/Genius-Society/svhn
cd svhn

Mirror

https://www.modelscope.cn/datasets/Genius-Society/svhn

References

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

Downloads last month
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
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