# PaddleX模型列表

## 一、图像分类
### 1. ResNet系列
| 模型名称 | config |
| :--- | :---: |
| ResNet18 | [ResNet18.yaml](../../../paddlex/configs/image_classification/ResNet18.yaml)|
| ResNet34 | [ResNet34.yaml](../../../paddlex/configs/image_classification/ResNet34.yaml)|
| ResNet50 | [ResNet50.yaml](../../../paddlex/configs/image_classification/ResNet50.yaml)|
| ResNet101 | [ResNet101.yaml](../../../paddlex/configs/image_classification/ResNet101.yaml)|
| ResNet152 | [ResNet152.yaml](../../../paddlex/configs/image_classification/ResNet152.yaml)|
### 2.PP-LCNet系列
| 模型名称 | config |
| :--- | :---: |
| PP-LCNet_x0_25 | [PP-LCNet_x0_25.yaml](../../../paddlex/configs/image_classification/PP-LCNet_x0_25.yaml)|
| PP-LCNet_x0_35 | [PP-LCNet_x0_35.yaml](../../../paddlex/configs/image_classification/PP-LCNet_x0_35.yaml)|
| PP-LCNet_x0_5 | [PP-LCNet_x0_5.yaml](../../../paddlex/configs/image_classification/ResNet50.yaml)|
| PP-LCNet_x0_75 | [PP-LCNet_x0_5.yaml](../../../paddlex/configs/image_classification/ResNet101.yaml)|
| PP-LCNet_x1_0 | [PP-LCNet_x1_0.yaml](../../../paddlex/configs/image_classification/PP-LCNet_x1_0.yaml)|
| PP-LCNet_x1_5 | [PP-LCNet_x1_5.yaml](../../../paddlex/configs/image_classification/PP-LCNet_x1_5.yaml)|
| PP-LCNet_x2_0 | [PP-LCNet_x2_0.yaml](../../../paddlex/configs/image_classification/PP-LCNet_x2_0.yaml)|
| PP-LCNet_x2_5 | [PP-LCNet_x2_5.yaml](../../../paddlex/configs/image_classification/PP-LCNet_x2_5.yaml)|
### 3.MobileNetV2系列
| 模型名称 | config |
| :--- | :---: |
| MobileNetV2_x0_25 | [MobileNetV2_x0_25.yaml](../../../paddlex/configs/image_classification/MobileNetV2_x0_25.yaml)|
| MobileNetV2_x0_5 | [MobileNetV2_x0_5.yaml](../../../paddlex/configs/image_classification/MobileNetV2_x0_5.yaml)|
| MobileNetV2_x1_0 | [MobileNetV2_x1_0.yaml](../../../paddlex/configs/image_classification/MobileNetV2_x1_0.yaml)|
| MobileNetV2_x1_5 | [MobileNetV2_x1_5.yaml](../../../paddlex/configs/image_classification/MobileNetV2_x1_5.yaml)|
| MobileNetV2_x2_0 | [MobileNetV2_x2_0.yaml](../../../paddlex/configs/image_classification/MobileNetV2_x2_0.yaml)|
### 4.MobileNetV3系列
| 模型名称 | config |
| :--- | :---: |
| MobileNetV3_small_x0_35 | [MobileNetV3_small_x0_35.yaml](../../../paddlex/configs/image_classification/MobileNetV3_small_x0_35.yaml)|
| MobileNetV3_small_x0_5 | [MobileNetV3_small_x0_5.yaml](../../../paddlex/configs/image_classification/MobileNetV3_small_x0_5.yaml)|
| MobileNetV3_small_x0_75 | [MobileNetV3_small_x0_75.yaml](../../../paddlex/configs/image_classification/MobileNetV3_small_x0_75.yaml)|
| MobileNetV3_small_x1_0 | [MobileNetV3_small_x1_0.yaml](../../../paddlex/configs/image_classification/MobileNetV3_small_x1_0.yaml)|
| MobileNetV3_small_x1_25 | [MobileNetV3_small_x1_25.yaml](../../../paddlex/configs/image_classification/MobileNetV3_small_x1_25.yaml)|
| MobileNetV3_large_x0_35 | [MobileNetV3_large_x0_35.yaml](../../../paddlex/configs/image_classification/MobileNetV3_large_x0_35.yaml)|
| MobileNetV3_large_x0_5 | [MobileNetV3_large_x0_5.yaml](../../../paddlex/configs/image_classification/MobileNetV3_large_x0_5.yaml)|
| MobileNetV3_large_x0_75 | [MobileNetV3_large_x0_75.yaml](../../../paddlex/configs/image_classification/MobileNetV3_large_x0_75.yaml)|
| MobileNetV3_large_x1_0 | [MobileNetV3_large_x1_0.yaml](../../../paddlex/configs/image_classification/MobileNetV3_large_x1_0.yaml)|
| MobileNetV3_large_x1_25 | [MobileNetV3_large_x1_25.yaml](../../../paddlex/configs/image_classification/MobileNetV3_large_x1_25.yaml)|
### 5.PP-HGNet系列
| 模型名称 | config |
| :--- | :---: |
| PP-HGNet_small | [PP-HGNet_small.yaml](../../../paddlex/configs/image_classification/PP-HGNet_small.yaml)|
### 6.PP-HGNetV2系列
| 模型名称 | config |
| :--- | :---: |
| PP-HGNetV2-B0 | [PP-HGNetV2-B0.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B0.yaml)|
| PP-HGNetV2-B4 | [PP-HGNetV2-B4.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B4.yaml)|
| PP-HGNetV2-B6 | [PP-HGNetV2-B6.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B6.yaml)|
### 7.CLIP系列
| 模型名称 | config |
| :--- | :---: |
| CLIP_vit_base_patch16_224 | [CLIP_vit_base_patch16_224.yaml](../../../paddlex/configs/image_classification/CLIP_vit_base_patch16_224.yaml)|
| CLIP_vit_large_patch14_224 | [CLIP_vit_large_patch14_224.yaml](../../../paddlex/configs/image_classification/CLIP_vit_large_patch14_224.yaml)|
### 8.SwinTransformer系列
| 模型名称 | config |
| :--- | :---: |
| SwinTransformer_base_patch4_window7_224 | [SwinTransformer_base_patch4_window7_224.yaml](../../../paddlex/configs/image_classification/SwinTransformer_base_patch4_window7_224.yaml)|
### 9.ConvNeXt系列
| 模型名称 | config |
| :--- | :---: |
| ConvNeXt_tiny | [ConvNeXt_tiny.yaml](../../../paddlex/configs/image_classification/ConvNeXt_tiny.yaml)|
## 二、目标检测
### 1. PP-YOLOE_plus系列
| 模型名称 | config |
| :--- | :---: |
| PP-YOLOE_plus-S | [PP-YOLOE_plus-S.yaml](../../../paddlex/configs/object_detection/PP-YOLOE_plus-S.yaml)|
| PP-YOLOE_plus-M | [PP-YOLOE_plus-M.yaml](../../../paddlex/configs/object_detection/PP-YOLOE_plus-M.yaml)|
| PP-YOLOE_plus-L | [PP-YOLOE_plus-L.yaml](../../../paddlex/configs/object_detection/PP-YOLOE_plus-L.yaml)|
| PP-YOLOE_plus-X | [PP-YOLOE_plus-X.yaml](../../../paddlex/configs/object_detection/PP-YOLOE_plus-X.yaml)|
### 2. RT-DETR系列
| 模型名称 | config |
| :--- | :---: |
| RT-DETR-R18 | [RT-DETR-R18.yaml](../../../paddlex/configs/object_detection/RT-DETR-R18.yaml)|
| RT-DETR-R50 | [RT-DETR-R50.yaml](../../../paddlex/configs/object_detection/RT-DETR-R50.yaml)|
| RT-DETR-L | [RT-DETR-L.yaml](../../../paddlex/configs/object_detection/RT-DETR-L.yaml)|
| RT-DETR-H | [RT-DETR-H.yaml](../../../paddlex/configs/object_detection/RT-DETR-H.yaml)|
| RT-DETR-X | [RT-DETR-X.yaml](../../../paddlex/configs/object_detection/RT-DETR-X.yaml)|
### 3. PicoDet系列
| 模型名称 | config |
| :--- | :---: |
| PicoDet-S | [PicoDet-S.yaml](../../../paddlex/configs/object_detection/PicoDet-S.yaml)|
| PicoDet-L | [PicoDet-L.yaml](../../../paddlex/configs/object_detection/PicoDet-L.yaml)|
## 三、实例分割
### 1.Mask-RT-DETR系列
| 模型名称 | config |
| :--- | :---: |
| Mask-RT-DETR-L | [Mask-RT-DETR-L.yaml](../../../paddlex/configs/instance_segmentation/Mask-RT-DETR-L.yaml)|
| Mask-RT-DETR-H | [Mask-RT-DETR-H.yaml](../../../paddlex/configs/instance_segmentation/Mask-RT-DETR-H.yaml)|
## 四、语义分割
### 1.Deeplabv3系列
| 模型名称 | config |
| :--- | :---: |
| Deeplabv3-R50 | [Deeplabv3-R50.yaml](../../../paddlex/configs/semantic_segmentation/Deeplabv3-R50.yaml)|
| Deeplabv3-R101 | [Deeplabv3-R101.yaml](../../../paddlex/configs/semantic_segmentation/Deeplabv3-R101.yaml)|
| Deeplabv3_Plus-R50 | [Deeplabv3_Plus-R50.yaml](../../../paddlex/configs/semantic_segmentation/Deeplabv3_Plus-R50.yaml)|
| Deeplabv3_Plus-R101 | [Deeplabv3_Plus-R101.yaml](../../../paddlex/configs/semantic_segmentation/Deeplabv3_Plus-R101.yaml)|
### 2.OCRNet系列
| 模型名称 | config |
| :--- | :---: |
| OCRNet_HRNet-W48 | [OCRNet_HRNet-W48.yaml](../../../paddlex/configs/semantic_segmentation/OCRNet_HRNet-W48.yaml)|
### 3.PP-LiteSeg系列
| 模型名称 | config |
| :--- | :---: |
| PP-LiteSeg-T | [PP-LiteSeg-T.yaml](../../../paddlex/configs/semantic_segmentation/PP-LiteSeg-T.yaml)|
## 五、表格识别
| 模型名称 | config |
| :--- | :---: |
| SLANet | [SLANet.yaml](../../../paddlex/configs/table_recognition/SLANet.yaml)|
## 六、文本检测
### 1.PP-OCRv4系列
| 模型名称 | config |
| :--- | :---: |
| PP-OCRv4_server_det | [PP-OCRv4_server_det.yaml](../../../paddlex/configs/text_detection/PP-OCRv4_server_det.yaml)|
| PP-OCRv4_mobile_det | [PP-OCRv4_mobile_det.yaml](../../../paddlex/configs/text_detection/PP-OCRv4_mobile_det.yaml)|
## 七、文本识别
### 1.PP-OCRv4系列
| 模型名称 | config |
| :--- | :---: |
| PP-OCRv4_server_rec | [PP-OCRv4_server_rec.yaml](../../../paddlex/configs/text_recognition/PP-OCRv4_server_rec.yaml)|
| PP-OCRv4_mobile_rec | [PP-OCRv4_mobile_rec.yaml](../../../paddlex/configs/text_recognition/PP-OCRv4_mobile_rec.yaml)|
## 八、版面分析
| 模型名称 | config |
| :--- | :---: |
| PicoDet_layout_1x | [PicoDet_layout_1x.yaml](../../../paddlex/configs/structure_analysis/PicoDet_layout_1x.yaml)|
## 九、时序异常检测
| 模型名称 | config |
| :--- | :---: |
| DLinear_ad | [DLinear_ad.yaml](../../../paddlex/configs/ts_anomaly_detection/DLinear_ad.yaml)|
| PatchTST_ad | [PatchTST_ad.yaml](../../../paddlex/configs/ts_anomaly_detection/PatchTST_ad.yaml)|
| TimesNet_ad | [TimesNet_ad.yaml](../../../paddlex/configs/ts_anomaly_detection/TimesNet_ad.yaml)|
| AutoEncoder_ad | [AutoEncoder_ad.yaml](../../../paddlex/configs/ts_anomaly_detection/AutoEncoder_ad.yaml)|
| Nonstationary_ad | [Nonstationary_ad.yaml](../../../paddlex/configs/ts_anomaly_detection/Nonstationary_ad.yaml)|
## 十、时序分类
| 模型名称 | config |
| :--- | :---: |
| TimesNet_cls | [TimesNet_cls.yaml](../../../paddlex/configs/ts_classification/TimesNet_cls.yaml)|
## 十一、时序预测
| 模型名称 | config |
| :--- | :---: |
| DLinear | [DLinear.yaml](../../../paddlex/configs/ts_forecast/DLinear.yaml)|
| RLinear | [RLinear.yaml](../../../paddlex/configs/ts_forecast/RLinear.yaml)|
| NLinear | [NLinear.yaml](../../../paddlex/configs/ts_forecast/NLinear.yaml)|
| PatchTST | [PatchTST.yaml](../../../paddlex/configs/ts_forecast/PatchTST.yaml)|
| TimesNet | [TimesNet.yaml](../../../paddlex/configs/ts_forecast/TimesNet.yaml)|
| Nonstationary | [Nonstationary.yaml](../../../paddlex/configs/ts_forecast/Nonstationary.yaml)|
| TiDE | [TiDE.yaml](../../../paddlex/configs/ts_forecast/TiDE.yaml)|