The UTRSet-Real dataset is a comprehensive, manually annotated dataset specifically curated for Printed Urdu OCR research. It contains over 11,000 printed text line images, each of which has been meticulously annotated. One of the standout features of this dataset is its remarkable diversity, which includes variations in fonts, text sizes, colours, orientations, lighting conditions, noises, styles, and backgrounds. This diversity closely mirrors real-world scenarios, making the dataset highly suitable for training and evaluating models that aim to excel in real-world Urdu text recognition tasks.
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The UTRSet-Synth dataset is introduced as a complementary training resource to the UTRSet-Real Dataset, specifically designed to enhance the effectiveness of Urdu OCR models. It is a high-quality synthetic dataset comprising 20,000 lines that closely resemble real-world representations of Urdu text.
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