pipeline/mmocr/dataset_zoo/mjsynth/metafile.yml

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