Abstract: The exact data used to train our deep convolutional neural networks (see our research page) is included in this torrent.
This is synthetically generated dataset which we found sufficient for training text recognition on real-world images

This dataset consists of 9 million images covering 90k English words, and includes the training, validation and test splits used in our work.
The exact data used to train our deep convolutional neural networks (see our [research page](http://www.robots.ox.ac.uk/~vgg/research/text/)) is included in this torrent.
This is synthetically generated dataset which we found sufficient for training text recognition on real-world images

This dataset consists of *9 million images* covering *90k English words*, and includes the training, validation and test splits used in our work.Year: 2016
Journal: International Journal of Computer Vision,
Volume: 116,
Pages: 1--20
URL: https://www.robots.ox.ac.uk/~vgg/data/text/License: No license specified, the work may be protected by copyright.
@article{jaderberg16,
author= {Max Jaderberg and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman},
title= {Reading Text in the Wild with Convolutional Neural Networks},
journal= {International Journal of Computer Vision},
number= {1},
volume= {116},
pages= {1--20},
month= {jan},
year= {2016},
abstract= {The exact data used to train our deep convolutional neural networks (see our [research page](http://www.robots.ox.ac.uk/~vgg/research/text/)) is included in this torrent.
This is synthetically generated dataset which we found sufficient for training text recognition on real-world images

This dataset consists of *9 million images* covering *90k English words*, and includes the training, validation and test splits used in our work.},
keywords= {},
terms= {},
license= {},
superseded= {},
url= {https://www.robots.ox.ac.uk/~vgg/data/text/}
}