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Information surrounds people in modern life. Text is a very efficient type ofinformation that people use for communication for centuries. However, automatedtext-in-the-wild recognition remains a challenging problem. The majorlimitation for a DL system is the lack of training data. For the competitiveperformance, training set must contain many samples that replicate thereal-world cases. While there are many high-quality datasets for English textrecognition; there are no available datasets for Russian language. In thispaper, we present a large-scale human-labeled dataset for Russian textrecognition in-the-wild. We also publish a synthetic dataset and code toreproduce the generation process

RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition