SVHN (Street View House Numbers)

Introduced by Netzer et al. in Reading digits in natural images with unsupervised feature learning

The Street View House Number (SVHN) is a digit classification benchmark dataset that contains 600000 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 530000 images that are less difficult and can be used for helping with the training process

Source: Competitive Multi-scale Convolution


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