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	fix table (#1454)
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				| @ -143,10 +143,11 @@ We take two scenes as examples, which are metal surface English number recogniti | ||||
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| After adding the above synthetic data for training, the accuracy of the recognition model is improved, which is shown in the following table: | ||||
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| | Scenario | Characters | Raw Data | Test Data | Only Use Raw Data</br>Recognition Accuracy | New Synthetic Data | Simultaneous Use of Synthetic Data</br>Recognition Accuracy | Index Improvement | | ||||
| | -------- | ---------- | -------- | -------- | ----------- --------------- | ------------ | ---------------------| -------- | | ||||
| | Metal surface | English and numbers | 2203 | 650 | 0.5938 | 20000 | 0.7546 | 16% | | ||||
| | Random background | Korean | 5631 | 1230 | 0.3012 | 100000 | 0.5057 | 20% | | ||||
| | -------- | ---------- | -------- | -------- | -------------------------- | ------------ | ---------------------- | -------- | | ||||
| | Metal surface | English and numbers | 2203     | 650      | 0.5938                     | 20000        | 0.7546                 | 16%      | | ||||
| | Random background | Korean       | 5631     | 1230     | 0.3012                     | 100000       | 0.5057                 | 20%      | | ||||
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| <a name="Code_structure"></a> | ||||
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