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@@ -12,7 +12,7 @@ PaddleX目前提供了DeepLabv3p、UNet、HRNet和FastSCNN四种语义分割结
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| :---------------- | :------- | :------- | :--------- | :--------- | :----- |
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| [DeepLabv3p-MobileNetV2-x0.25](https://github.com/PaddlePaddle/PaddleX/blob/develop/tutorials/train/semantic_segmentation/deeplabv3p_mobilenetv2_x0.25.py) | - | 2.9MB | - | - | 模型小，预测速度快，适用于低性能或移动端设备 |
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| [DeepLabv3p-MobileNetV2-x1.0](https://github.com/PaddlePaddle/PaddleX/blob/develop/tutorials/train/semantic_segmentation/deeplabv3p_mobilenetv2.py) | 69.8% | 11MB | - | - | 模型小，预测速度快，适用于低性能或移动端设备 |
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-| [DeepLabv3p-Xception65](https://github.com/PaddlePaddle/PaddleX/blob/develop/tutorials/train/semantic_segmentation/deeplabv3p_xception65.pyy) | 79.3% | 158MB | - | - | 模型大，精度高，适用于服务端 |
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+| [DeepLabv3p-Xception65](https://github.com/PaddlePaddle/PaddleX/blob/develop/tutorials/train/semantic_segmentation/deeplabv3p_xception65.py) | 79.3% | 158MB | - | - | 模型大，精度高，适用于服务端 |
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| [UNet](https://github.com/PaddlePaddle/PaddleX/blob/develop/tutorials/train/semantic_segmentation/unet.py) | - | 52MB | - | - | 模型较大，精度高，适用于服务端 |
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| [HRNet](https://github.com/PaddlePaddle/PaddleX/blob/develop/tutorials/train/semantic_segmentation/hrnet.py) | 79.4% | 37MB | - | - | 模型较小，模型精度高，适用于服务端部署 |
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| [FastSCNN](https://github.com/PaddlePaddle/PaddleX/blob/develop/tutorials/train/semantic_segmentation/fast_scnn.py) | - | 4.5MB | - | - | 模型小，预测速度快，适用于低性能或移动端设备 |
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Jason