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Name: 'Synthetic Word Dataset (MJSynth/Syn90k)'
Paper:
Title: Reading Text in the Wild with Convolutional Neural Networks
URL: https://arxiv.org/pdf/1412.1842.pdf
Venue: International Journal of Computer Vision
Year: '2016'
BibTeX: '@InProceedings{Jaderberg14c,
author = "Max Jaderberg and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman",
title = "Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition",
booktitle = "Workshop on Deep Learning, NIPS",
year = "2014",
}
@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",
}'
Data:
Website: https://www.robots.ox.ac.uk/~vgg/data/text/
Language:
- English
Scene:
- Synthesis
Granularity:
- Word
Tasks:
- textrecog
License:
Type: N/A
Link: N/A
Format: .txt
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