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title: UrduDoc (UTRNet) |
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emoji: 📖 |
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colorFrom: red |
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colorTo: green |
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license: cc-by-nc-4.0 |
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task_categories: |
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- image-to-text |
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language: |
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- ur |
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tags: |
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- ocr |
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- text recognition |
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- urdu-ocr |
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- utrnet |
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pretty_name: UrduDoc |
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references: |
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- https://github.com/abdur75648/UTRNet-High-Resolution-Urdu-Text-Recognition |
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- https://abdur75648.github.io/UTRNet/ |
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- https://arxiv.org/abs/2306.15782 |
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--- |
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The **UrduDoc Dataset** is a benchmark dataset for Urdu text line detection in scanned documents. It is created as a byproduct of the **UTRSet-Real** dataset generation process. Comprising 478 diverse images collected from various sources such as books, documents, manuscripts, and newspapers, it offers a valuable resource for research in Urdu document analysis. It includes 358 pages for training and 120 pages for validation, featuring a wide range of styles, scales, and lighting conditions. It serves as a benchmark for evaluating printed Urdu text detection models, and the benchmark results of state-of-the-art models are provided. The Contour-Net model demonstrates the best performance in terms of h-mean. |
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The UrduDoc dataset is the first of its kind for printed Urdu text line detection and will advance research in the field. It will be made publicly available for non-commercial, academic, and research purposes upon request and execution of a no-cost license agreement. To request the dataset and for more information and details about the [UrduDoc ](https://paperswithcode.com/dataset/urdudoc), [UTRSet-Real](https://paperswithcode.com/dataset/utrset-real) & [UTRSet-Synth](https://paperswithcode.com/dataset/utrset-synth) datasets, please refer to the [Project Website](https://abdur75648.github.io/UTRNet/) of our paper ["UTRNet: High-Resolution Urdu Text Recognition In Printed Documents"](https://arxiv.org/abs/2306.15782) |
