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@ -26,8 +26,10 @@
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|模型|骨干网络|配置文件|precision|recall|Hmean|下载链接|
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| --- | --- | --- | --- | --- | --- | --- |
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|EAST|ResNet50_vd|88.71%| 81.36%| 84.88%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)|
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|EAST| MobileNetV3| 78.20%| 79.10%| 78.65%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)|
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|EAST|ResNet50_vd| [det_r50_vd_east.yml](../../configs/det/det_r50_vd_east.yml)|88.71%| 81.36%| 84.88%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)|
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|EAST|MobileNetV3|[det_mv3_east.yml](../../configs/det/det_mv3_east.yml) | 78.20%| 79.10%| 78.65%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_east_v2.0_train.tar)|
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<a name="2"></a>
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@ -26,8 +26,9 @@ On the ICDAR2015 dataset, the text detection result is as follows:
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|Model|Backbone|Configuration|Precision|Recall|Hmean|Download|
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| --- | --- | --- | --- | --- | --- | --- |
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|EAST|ResNet50_vd|88.71%| 81.36%| 84.88%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)|
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|EAST| MobileNetV3| 78.20%| 79.10%| 78.65%| [训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)|
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|EAST|ResNet50_vd| [det_r50_vd_east.yml](../../configs/det/det_r50_vd_east.yml)|88.71%| 81.36%| 84.88%| [model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_east_v2.0_train.tar)|
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|EAST|MobileNetV3|[det_mv3_east.yml](../../configs/det/det_mv3_east.yml) | 78.20%| 79.10%| 78.65%| [model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_east_v2.0_train.tar)|
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<a name="2"></a>
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