ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)

  title={ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)},
  author={Baoguang Shi and Cong Yao and Minghui Liao and Mingkun Yang and P. Xu and L. Cui and Serge J. Belongie and S. Lu and X. Bai},
  journal={2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)},
  • Baoguang Shi, Cong Yao, +6 authors X. Bai
  • Published 2017
  • Computer Science
  • 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
  • Chinese is the most widely used language in the world. Algorithms that read Chinese text in natural images facilitate applications of various kinds. Despite the large potential value, datasets and competitions in the past primarily focus on English, which bares very different characteristics than Chinese. This report introduces RCTW, a new competition that focuses on Chinese text reading. The competition features a large-scale dataset with over 12,000 annotated images. Two tasks, namely text… CONTINUE READING
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