Datasets:

Chiranjeev007
/

SVHN-10_Subset

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End of preview. Expand in Data Studio

SVHN (Street View House Numbers) — Subset 🔢

Stratified random subset of SVHN, sourced from ufldl-stanford/svhn.

Splits

Split	Rows	Classes	Per class
train	5,000	10	~500
test	1,000	10	~100
validation	500	10	~50

About SVHN

The Street View House Numbers (SVHN) dataset is a real-world digit recognition dataset obtained from Google Street View images.

Full train set: 73,257 images
Full test set: 26,032 images
Extra set: 531,131 images (not included in this subset)
Image size: 32 × 32 RGB (cropped_digits config)
Classes: 10 digits (0–9)
Config used: cropped_digits — MNIST-like single digit per image

Classes

ID	Digit	ID	Digit
0	0	5	5
1	1	6	6
2	2	7	7
3	3	8	8
4	4	9	9

Usage

from datasets import load_dataset

ds = load_dataset("Chiranjeev007/SVHN-10_Subset")
print(ds)
# DatasetDict({
#   train:      Dataset(num_rows: 5000),
#   validation: Dataset(num_rows: 500),
#   test:       Dataset(num_rows: 1000)
# })

sample = ds["train"][0]
sample["image"]   # PIL Image 32×32 RGB
sample["label"]   # int 0–9

Sampling Details

Method: Stratified random — proportional per class
Seed: 42
Source config: cropped_digits

Downloads last month: 4

Size of downloaded dataset files:

11.8 MB

Size of the auto-converted Parquet files:

11.8 MB

Number of rows:

6,500

image imagewidth (px) 32 32	label class label 10 classes
	11
	66
	33
	44
	22
	88
	22
	44
	44
	66
	55
	99
	66
	77
	66
	00
	44
	99
	88
	44
	22
	77
	55
	77
	00
	22
	33
	44
	11
	44
	88
	44
	99
	77
	11
	99
	99
	44
	66
	44
	22
	33
	00
	22
	22
	77
	55
	00
	33
	66
	66
	22
	44
	33
	33
	77
	88
	44
	00
	55
	22
	88
	00
	66
	44
	99
	55
	88
	77
	22
	22
	00
	88
	55
	55
	11
	44
	22
	33
	77
	44
	00
	44
	99
	66
	22
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	00
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	99
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image imagewidth (px) 32 32	label class label 10 classes
	11
	66
	33
	44
	22
	88
	22
	44
	44
	66
	55
	99
	66
	77
	66
	00
	44
	99
	88
	44
	22
	77
	55
	77
	00
	22
	33
	44
	11
	44
	88
	44
	99
	77
	11
	99
	99
	44
	66
	44
	22
	33
	00
	22
	22
	77
	55
	00
	33
	66
	66
	22
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	33
	77
	88
	44
	00
	55
	22
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	00
	66
	44
	99
	55
	88
	77
	22
	22
	00
	88
	55
	55
	11
	44
	22
	33
	77
	44
	00
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	66
	22
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	00
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	99
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image imagewidth (px) 32 32	label class label 10 classes
	11
	66
	33
	44
	22
	88
	22
	44
	44
	66
	55
	99
	66
	77
	66
	00
	44
	99
	88
	44
	22
	77
	55
	77
	00
	22
	33
	44
	11
	44
	88
	44
	99
	77
	11
	99
	99
	44
	66
	44
	22
	33
	00
	22
	22
	77
	55
	00
	33
	66
	66
	22
	44
	33
	33
	77
	88
	44
	00
	55
	22
	88
	00
	66
	44
	99
	55
	88
	77
	22
	22
	00
	88
	55
	55
	11
	44
	22
	33
	77
	44
	00
	44
	99
	66
	22
	33
	44
	00
	44
	11
	99
	22
	33
	99
	88
	22
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