Street View House Numbers
Street View House Numbers (SVHN) is a digit classification benchmark dataset that contains 600,000 32×32 RGB images of printed digits (from 0 to 9) cropped from pictures of house number plates. The cropped images are centered in the digit of interest, but nearby digits and other distractors are kept in the image. SVHN has three sets: training, testing sets and an extra set with 530,000 images that are less difficult and can be used for helping with the training process.
Source: Reading Digits in Natural Images with Unsupervised Feature Learning
Image Source: http://ufldl.stanford.edu/housenumbers/
Variants: svhn,1000, SVHN, 4000 Labels, SVHN, 2000 Labels, SVHN-to-MNIST, SVHN, 500 Labels, SVHN, 40 Labels, SVHN, 250 Labels, SVHN, 1000 labels, SVHN
This dataset is used in 3 benchmarks:
Recent papers with results on this dataset: