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README.md
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datasets:
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- mssqpi/Arabic-OCR-Dataset
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---
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# Usage
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ocr = QalamNet()
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print(f"Predicted Arabic Text: {ocr.predict('/content/images.png')}")
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-
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```
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</details>
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| **Framework** | Keras 3.x (Native) |
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## 📁 Dataset
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This model was trained on the **[Arabic-OCR-Dataset](https://huggingface.co/datasets/mssqpi/Arabic-OCR-Dataset)**
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- **Total Samples**: ~2.16 Million images.
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- **Content**: A massive collection of Arabic text lines in various fonts and styles.
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- **Usage**: Used for training the CRNN architecture to recognize sequential Arabic script.
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---
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language: ar
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license: apache-2.0
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tags:
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- ocr
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- arabic
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- keras
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- jax
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- tensorflow
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- pytorch
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datasets:
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- mssqpi/Arabic-OCR-Dataset
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---
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# Usage
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ocr = QalamNet()
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print(f"Predicted Arabic Text: {ocr.predict('/content/images.png')}")
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```
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</details>
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| **Framework** | Keras 3.x (Native) |
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## 📁 Dataset
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This model was trained on the **[Arabic-OCR-Dataset](https://huggingface.co/datasets/mssqpi/Arabic-OCR-Dataset)** provided by **Muhammad AL-Qurishi (mssqpi)**.
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- **Total Samples**: ~2.16 Million images.
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- **Content**: A massive collection of Arabic text lines in various fonts and styles.
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- **Usage**: Used for training the CRNN architecture to recognize sequential Arabic script.
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