ICDAR 2015 competition on Robust Reading
Universitat Autònoma de Barcelona · Osaka Prefecture University · +4 more institutions
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…
Citation impact
- FWCI
- 35.19
- Percentile
- 100%
- References
- 26
Authors
13Topics & keywords
- Ground truth
- Computer science
- Reading (process)
- Artificial intelligence
- Competition (biology)
- Word (group theory)
- Text recognition
- Text detection
- Quality Education