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
**Author**: Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, Andrew Y. Ng **Source**: [original](http://ufldl.stanford.edu/housenumbers/) - 2011 **Please cite**: Yuval Netzer, Ta