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The Street View House Numbers (SVHN) DatasetThe Street View House Numbers (SVHN) Dataset

ybouane about a year ago 1.0.0 FREE
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Files 2GB extra.json 58MB train.json 8MB 260MB test.json 3MB 375MB


# Content SVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and formatting. It can be seen as similar in flavor to MNIST (e.g., the images are of small cropped digits), but incorporates an order of magnitude more labeled data (over 600,000 digit images) and comes from a significantly harder, unsolved, real world problem (recognizing digits and numbers in natural scene images). SVHN is obtained from house numbers in Google Street View images. The json datasets contain a list of each image with the corresponding bounding boxes for each digit in the image. # Source [The Street View House Numbers (SVHN) Dataset]( Please cite the following reference in papers using this dataset: _Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, Andrew Y. Ng Reading Digits in Natural Images with Unsupervised Feature Learning NIPS Workshop on Deep Learning and Unsupervised Feature Learning 2011._


Test Datasetsvhn/test

Image file Bounding Boxes

Train Datasetsvhn/train

Image file Bounding Boxes

Extra Datasetsvhn/extra

Image file Bounding Boxes


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