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README.md
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license: apache-2.0
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# te_PP-OCRv3_mobile_rec
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<tr>
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<th>Model</th>
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<th>Recognition Avg Accuracy(%)</th>
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<th>GPU Inference Time (ms)<br/>[Normal Mode / High-Performance Mode]</th>
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<th>CPU Inference Time (ms)<br/>[Normal Mode / High-Performance Mode]</th>
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<th>Model Storage Size (M)</th>
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<th>Introduction</th>
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</tr>
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<tr>
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<td>te_PP-OCRv3_mobile_rec</td><
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<td>95.88</td>
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<td>5.42 / 0.82</td>
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<td>8.10 / 6.91</td>
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<td>7.8 M </td>
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<td>An ultra-lightweight Telugu recognition model trained based on the PP-OCRv3 recognition model, supporting Telugu and numeric character recognition.</td>
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</tr>
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**Note**: If any character (including punctuation) in a line
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## Quick Start
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license: apache-2.0
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library_name: PaddleOCR
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language:
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- en
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- zh
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pipeline_tag: image-to-text
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tags:
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- OCR
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- PaddlePaddle
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- PaddleOCR
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# te_PP-OCRv3_mobile_rec
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<tr>
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<th>Model</th>
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<th>Recognition Avg Accuracy(%)</th>
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<th>Model Storage Size (M)</th>
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<th>Introduction</th>
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</tr>
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<tr>
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<td>te_PP-OCRv3_mobile_rec</td><
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<td>95.88</td>
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<td>7.8 M </td>
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<td>An ultra-lightweight Telugu recognition model trained based on the PP-OCRv3 recognition model, supporting Telugu and numeric character recognition.</td>
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</tr>
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**Note**: If any character (including punctuation) in a line was incorrect, the entire line was marked as wrong. This ensures higher accuracy in practical applications.
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## Quick Start
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