RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition
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Abstract (arXiv)
Information surrounds people in modern life. Text is a very efficient type of information that people use for communication for centuries. However, automated text-in-the-wild recognition remains a challenging problem. The major limitation for a DL system is the lack of training data. For the competitive performance, training set must contain many samples that replicate the real-world cases. While there are many high-quality datasets for English text recognition; there are no available datasets for Russian language. In this paper, we present a large-scale human-labeled dataset for Russian text recognition in-the-wild. We also publish a synthetic dataset and code to reproduce the generation process
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 19 of its 34 references that are in the map. First posted on arXiv 29 Mar 2023.
Builds on
19 of 34 references.
References · 19
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- 2017Detecting Curve Text in the Wild: New Dataset and New Solutioncited by 82
7 more
- 2018An end-to-end TextSpotter with Explicit Alignment and Attentioncited by 50
- 2021Open Images V5 Text Annotation and Yet Another Mask Text Spottercited by 46
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.