articleAug 1, 2015Closed access

ICDAR 2015 competition on Robust Reading

Universitat Autònoma de Barcelona · Osaka Prefecture University · +4 more institutions

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Abstract

Results of the ICDAR 2015 Robust Reading Competition are presented. A new Challenge 4 on Incidental Scene Text has been added to the Challenges on Born-Digital Images, Focused Scene Images and Video Text. Challenge 4 is run on a newly acquired dataset of 1,670 images evaluating Text Localisation, Word Recognition and End-to-End pipelines. In addition, the dataset for Challenge 3 on Video Text has been substantially updated with more video sequences and more accurate ground truth data. Finally, tasks assessing End-to-End system performance have been introduced to all Challenges. The competition took place in the first quarter of 2015, and received a total of 44 submissions. Only the tasks newly introduced in…

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1,580
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Authors

13

Topics & keywords

Keywords
  • Ground truth
  • Computer science
  • Reading (process)
  • Artificial intelligence
  • Competition (biology)
  • Word (group theory)
  • Text recognition
  • Text detection
UN Sustainable Development Goals
  • Quality Education
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