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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
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  ---
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  # ta_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>ta_PP-OCRv3_mobile_rec</td>
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  <td>76.83</td>
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- <td>5.23 / 0.75</td>
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- <td>10.13 / 4.30</td>
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  <td>8.0 M </td>
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  <td>An ultra-lightweight Tamil recognition model trained based on the PP-OCRv3 recognition model, supporting Tamil and numeric character recognition.</td>
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  </tr>
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  </table>
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- **Note**: If any character (including punctuation) in a line is incorrect, the entire line is marked as wrong. This ensures higher accuracy in practical applications.
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  ## Quick Start
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  ---
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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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  ---
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  # ta_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>ta_PP-OCRv3_mobile_rec</td>
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  <td>76.83</td>
 
 
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  <td>8.0 M </td>
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  <td>An ultra-lightweight Tamil recognition model trained based on the PP-OCRv3 recognition model, supporting Tamil and numeric character recognition.</td>
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  </tr>
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  </table>
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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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