# 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)|
| ResNet18_vd | [ResNet18_vd.yaml](../../../paddlex/configs/image_classification/ResNet18_vd.yaml)|
| ResNet34 | [ResNet34.yaml](../../../paddlex/configs/image_classification/ResNet34.yaml)|
| ResNet34_vd | [ResNet34_vd.yaml](../../../paddlex/configs/image_classification/ResNet34_vd.yaml)|
| ResNet50 | [ResNet50.yaml](../../../paddlex/configs/image_classification/ResNet50.yaml)|
| ResNet50_vd | [ResNet50_vd.yaml](../../../paddlex/configs/image_classification/ResNet50_vd.yaml)|
| ResNet101 | [ResNet101.yaml](../../../paddlex/configs/image_classification/ResNet101.yaml)|
| ResNet101_vd | [ResNet101_vd.yaml](../../../paddlex/configs/image_classification/ResNet101_vd.yaml)|
| ResNet152 | [ResNet152.yaml](../../../paddlex/configs/image_classification/ResNet152.yaml)|
| ResNet152_vd | [ResNet152_vd.yaml](../../../paddlex/configs/image_classification/ResNet152_vd.yaml)|
| ResNet200_vd | [ResNet200_vd.yaml](../../../paddlex/configs/image_classification/ResNet200_vd.yaml)|
### 2.PP-LCNet & PP-LCNetV2 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/PP-LCNet_x0_5.yaml)|
| PP-LCNet_x0_75 | [PP-LCNet_x0_75.yaml](../../../paddlex/configs/image_classification/PP-LCNet_x0_75.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)|
| PP-LCNetV2_small | [PP-LCNetV2_small.yaml](../../../paddlex/configs/image_classification/PP-LCNetV2_small.yaml)|
| PP-LCNetV2_base | [PP-LCNetV2_base.yaml](../../../paddlex/configs/image_classification/PP-LCNetV2_base.yaml)|
| PP-LCNetV2_large | [PP-LCNetV2_large.yaml](../../../paddlex/configs/image_classification/PP-LCNetV2_large.yaml)|
### 3.MobileNetV1 系列
| 模型名称 | config |
| :--- | :---: |
| MobileNetV1_x0_25 | [MobileNetV1_x0_25.yaml](../../../paddlex/configs/image_classification/MobileNetV1_x0_25.yaml)|
| MobileNetV1_x0_5 | [MobileNetV1_x0_5.yaml](../../../paddlex/configs/image_classification/MobileNetV1_x0_5.yaml)|
| MobileNetV1_x0_75 | [MobileNetV1_x0_75.yaml](../../../paddlex/configs/image_classification/MobileNetV1_x0_75.yaml)|
| MobileNetV1_x1_0 | [MobileNetV1_x1_0.yaml](../../../paddlex/configs/image_classification/MobileNetV1_x1_0.yaml)|
### 4.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)|
### 5.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)|
### 6.MobileNetV4 系列
| 模型名称 | config |
| :--- | :---: |
| MobileNetV4_conv_small | [MobileNetV4_conv_small.yaml](../../../paddlex/configs/image_classification/MobileNetV4_conv_small.yaml)|
| MobileNetV4_conv_medium | [MobileNetV4_conv_medium.yaml](../../../paddlex/configs/image_classification/MobileNetV4_conv_medium.yaml)|
| MobileNetV4_conv_large | [MobileNetV4_conv_large.yaml](../../../paddlex/configs/image_classification/MobileNetV4_conv_large.yaml)|
| MobileNetV4_hybrid_medium | [MobileNetV4_hybrid_medium.yaml](../../../paddlex/configs/image_classification/MobileNetV4_hybrid_medium.yaml)|
| MobileNetV4_hybrid_large | [MobileNetV4_hybrid_large.yaml](../../../paddlex/configs/image_classification/MobileNetV4_hybrid_large.yaml)|
### 7.PP-HGNet 系列
| 模型名称 | config |
| :--- | :---: |
| PP-HGNet_tiny | [PP-HGNet_tiny.yaml](../../../paddlex/configs/image_classification/PP-HGNet_tiny.yaml)|
| PP-HGNet_small | [PP-HGNet_small.yaml](../../../paddlex/configs/image_classification/PP-HGNet_small.yaml)|
| PP-HGNet_base | [PP-HGNet_base.yaml](../../../paddlex/configs/image_classification/PP-HGNet_base.yaml)|
### 8.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-B1 | [PP-HGNetV2-B1.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B1.yaml)|
| PP-HGNetV2-B2 | [PP-HGNetV2-B2.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B2.yaml)|
| PP-HGNetV2-B3 | [PP-HGNetV2-B3.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B3.yaml)|
| PP-HGNetV2-B4 | [PP-HGNetV2-B4.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B4.yaml)|
| PP-HGNetV2-B5 | [PP-HGNetV2-B5.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B5.yaml)|
| PP-HGNetV2-B6 | [PP-HGNetV2-B6.yaml](../../../paddlex/configs/image_classification/PP-HGNetV2-B6.yaml)|
### 9.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)|
### 10.ConvNeXt 系列
| 模型名称 | config |
| :--- | :---: |
| ConvNeXt_tiny | [ConvNeXt_tiny.yaml](../../../paddlex/configs/image_classification/ConvNeXt_tiny.yaml)|
| ConvNeXt_small | [ConvNeXt_small.yaml](../../../paddlex/configs/image_classification/ConvNeXt_small.yaml)|
| ConvNeXt_base_224 | [ConvNeXt_base_224.yaml](../../../paddlex/configs/image_classification/ConvNeXt_base_224.yaml)|
| ConvNeXt_base_384 | [ConvNeXt_base_384.yaml](../../../paddlex/configs/image_classification/ConvNeXt_base_384.yaml)|
| ConvNeXt_large_224 | [ConvNeXt_large_224.yaml](../../../paddlex/configs/image_classification/ConvNeXt_large_224.yaml)|
| ConvNeXt_large_384 | [ConvNeXt_large_384.yaml](../../../paddlex/configs/image_classification/ConvNeXt_large_384.yaml)|
### 11.SwinTransformer系列
| 模型名称 | config |
| :--- | :---: |
| SwinTransformer_tiny_patch4_window7_224 | [SwinTransformer_tiny_patch4_window7_224.yaml](../../../paddlex/configs/image_classification/SwinTransformer_tiny_patch4_window7_224.yaml)|
| SwinTransformer_small_patch4_window7_224 | [SwinTransformer_small_patch4_window7_224.yaml](../../../paddlex/configs/image_classification/SwinTransformer_small_patch4_window7_224.yaml)|
| SwinTransformer_base_patch4_window7_224 | [SwinTransformer_base_patch4_window7_224.yaml](../../../paddlex/configs/image_classification/SwinTransformer_base_patch4_window7_224.yaml)|
| SwinTransformer_base_patch4_window12_384 | [SwinTransformer_base_patch4_window12_384.yaml](../../../paddlex/configs/image_classification/SwinTransformer_base_patch4_window12_384.yaml)|
| SwinTransformer_large_patch4_window7_224 | [SwinTransformer_large_patch4_window7_224.yaml](../../../paddlex/configs/image_classification/SwinTransformer_large_patch4_window7_224.yaml)|
| SwinTransformer_large_patch4_window12_384 | [SwinTransformer_large_patch4_window12_384.yaml](../../../paddlex/configs/image_classification/SwinTransformer_large_patch4_window12_384.yaml)|
### 12.StarNet系列
| 模型名称 | config |
| :--- | :---: |
| StarNet-S1 | [StarNet-S1.yaml](../../../paddlex/configs/image_classification/StarNet-S1.yaml)|
| StarNet-S2 | [StarNet-S2.yaml](../../../paddlex/configs/image_classification/StarNet-S2.yaml)|
| StarNet-S3 | [StarNet-S3.yaml](../../../paddlex/configs/image_classification/StarNet-S3.yaml)|
| StarNet-S4 | [StarNet-S4.yaml](../../../paddlex/configs/image_classification/StarNet-S4.yaml)|
### 13.FasterNet系列
| 模型名称 | config |
| :--- | :---: |
| FasterNet-L | [FasterNet-L.yaml](../../../paddlex/configs/image_classification/FasterNet-L.yaml)|
| FasterNet-M | [FasterNet-M.yaml](../../../paddlex/configs/image_classification/FasterNet-M.yaml)|
| FasterNet-S | [FasterNet-S.yaml](../../../paddlex/configs/image_classification/FasterNet-S.yaml)|
| FasterNet-T0 | [FasterNet-T0.yaml](../../../paddlex/configs/image_classification/FasterNet-T0.yaml)|
| FasterNet-T1 | [FasterNet-T1.yaml](../../../paddlex/configs/image_classification/FasterNet-T1.yaml)|
| FasterNet-T2 | [FasterNet-T2.yaml](../../../paddlex/configs/image_classification/FasterNet-T2.yaml)|

### 14. 多标签分类系列
| 模型名称 | config |
| :--- | :---: |
| ResNet50_ML | [ResNet50_ML.yaml](../../../paddlex/configs/multilabel_classification/ResNet50_ML.yaml)|
| PP-LCNet_x1_0_ML | [PP-LCNet_x1_0_ML.yaml](../../../paddlex/configs/multilabel_classification/PP-LCNet_x1_0_ML.yaml)|
| PP-HGNetV2-B0_ML | [PP-HGNetV2-B0_ML.yaml](../../../paddlex/configs/multilabel_classification/PP-HGNetV2-B0_ML.yaml)|
| PP-HGNetV2-B4_ML | [PP-HGNetV2-B4_ML.yaml](../../../paddlex/configs/multilabel_classification/PP-HGNetV2-B4_ML.yaml)|
| PP-HGNetV2-B6_ML | [PP-HGNetV2-B6_ML.yaml](../../../paddlex/configs/multilabel_classification/PP-HGNetV2-B6_ML.yaml)|
| CLIP_vit_base_patch16_448_ML | [CLIP_vit_base_patch16_448_ML.yaml](../../../paddlex/configs/multilabel_classification/CLIP_vit_base_patch16_448_ML.yaml)|

### 12. 文档图像方向分类
| 模型名称 | config |
| :--- | :---: |
| PP-LCNet_x1_0_doc_ori | [PP-LCNet_x1_0_doc_ori.yaml](../../../paddlex/configs/doc_text_orientation/PP-LCNet_x1_0_doc_ori.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)|
| PP-YOLOE_plus_SOD-L | [PP-YOLOE_plus_SOD-L.yaml](../../../paddlex/configs/small_object_detection/PP-YOLOE_plus_SOD-L.yaml)|
| PP-YOLOE_plus_SOD-S | [PP-YOLOE_plus_SOD-S.yaml](../../../paddlex/configs/small_object_detection/PP-YOLOE_plus_SOD-S.yaml)|
| PP-YOLOE_plus_SOD-largesize-L | [PP-YOLOE_plus_SOD-largesize-L.yaml](../../../paddlex/configs/small_object_detection/PP-YOLOE_plus_SOD-largesize-L.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)|
| PicoDet-M | [PicoDet-M.yaml](../../../paddlex/configs/object_detection/PicoDet-M.yaml)|
| PicoDet-XS | [PicoDet-XS.yaml](../../../paddlex/configs/object_detection/PicoDet-XS.yaml)|
| PP-ShiTuV2_det | [PP-ShiTuV2_det.yaml](../../../paddlex/configs/mainbody_detection/PP-ShiTuV2_det.yaml)|
| PicoDet_LCNet_x2_5_face | [PicoDet_LCNet_x2_5_face.yaml](../../../paddlex/configs/face_detection/PicoDet_LCNet_x2_5_face.yaml)|
### 4. YOLOv3 系列
| 模型名称 | config |
| :--- | :---: |
| YOLOv3-DarkNet53 | [YOLOv3-DarkNet53.yaml](../../../paddlex/configs/object_detection/YOLOv3-DarkNet53.yaml)|
| YOLOv3-MobileNetV3 | [YOLOv3-MobileNetV3.yaml](../../../paddlex/configs/object_detection/YOLOv3-MobileNetV3.yaml)|
| YOLOv3-ResNet50_vd_DCN | [YOLOv3-ResNet50_vd_DCN.yaml](../../../paddlex/configs/object_detection/YOLOv3-ResNet50_vd_DCN.yaml)|
### 5. YOLOX 系列
| 模型名称 | config |
| :--- | :---: |
| YOLOX-L | [YOLOX-L.yaml](../../../paddlex/configs/object_detection/YOLOX-L.yaml)|
| YOLOX-M | [YOLOX-M.yaml](../../../paddlex/configs/object_detection/YOLOX-M.yaml)|
| YOLOX-N | [YOLOX-N.yaml](../../../paddlex/configs/object_detection/YOLOX-N.yaml)|
| YOLOX-S | [YOLOX-S.yaml](../../../paddlex/configs/object_detection/YOLOX-S.yaml)|
| YOLOX-T | [YOLOX-T.yaml](../../../paddlex/configs/object_detection/YOLOX-T.yaml)|
| YOLOX-X | [YOLOX-X.yaml](../../../paddlex/configs/object_detection/YOLOX-X.yaml)|
### 6. FasterRCNN 系列
| 模型名称 | config |
| :--- | :---: |
| FasterRCNN-ResNet34-FPN | [FasterRCNN-ResNet34-FPN.yaml](../../../paddlex/configs/object_detection/FasterRCNN-ResNet34-FPN.yaml)|
| FasterRCNN-ResNet50 | [FasterRCNN-ResNet50.yaml](../../../paddlex/configs/object_detection/FasterRCNN-ResNet50.yaml)|
| FasterRCNN-ResNet50-FPN | [FasterRCNN-ResNet50-FPN.yaml](../../../paddlex/configs/object_detection/FasterRCNN-ResNet50-FPN.yaml)|
| FasterRCNN-ResNet50-vd-FPN | [FasterRCNN-ResNet50-vd-FPN.yaml](../../../paddlex/configs/object_detection/FasterRCNN-ResNet50-vd-FPN.yaml)|
| FasterRCNN-ResNet50-vd-SSLDv2-FPN | [FasterRCNN-ResNet50-vd-SSLDv2-FPN.yaml](../../../paddlex/configs/object_detection/FasterRCNN-ResNet50-vd-SSLDv2-FPN.yaml)|
| FasterRCNN-ResNet101 | [FasterRCNN-ResNet101.yaml](../../../paddlex/configs/object_detection/FasterRCNN-ResNet101.yaml)|
| FasterRCNN-ResNet101-FPN | [FasterRCNN-ResNet101-FPN.yaml](../../../paddlex/configs/object_detection/FasterRCNN-ResNet101-FPN.yaml)|
| FasterRCNN-ResNeXt101-vd-FPN | [FasterRCNN-ResNeXt101-vd-FPN.yaml](../../../paddlex/configs/object_detection/FasterRCNN-ResNeXt101-vd-FPN.yaml)|
| FasterRCNN-Swin-Tiny-FPN | [FasterRCNN-Swin-Tiny-FPN.yaml](../../../paddlex/configs/object_detection/FasterRCNN-Swin-Tiny-FPN.yaml)|
### 7. Cascade 系列
| 模型名称 | config |
| :--- | :---: |
| Cascade-FasterRCNN-ResNet50-FPN | [Cascade-FasterRCNN-ResNet50-FPN.yaml](../../../paddlex/configs/object_detection/Cascade-FasterRCNN-ResNet50-FPN.yaml)|
| Cascade-FasterRCNN-ResNet50-vd-SSLDv2-FPN | [Cascade-FasterRCNN-ResNet50-vd-SSLDv2-FPN.yaml](../../../paddlex/configs/object_detection/Cascade-FasterRCNN-ResNet50-vd-SSLDv2-FPN.yaml)|
### 8. FCOS 系列
| 模型名称 | config |
| :--- | :---: |
| FCOS-ResNet50 | [FCOS-ResNet50.yaml](../../../paddlex/configs/object_detection/FCOS-ResNet50.yaml)|
### 9. DETR 系列
| 模型名称 | config |
| :--- | :---: |
| DETR-R50 | [DETR-R50.yaml](../../../paddlex/configs/object_detection/DETR-R50.yaml)|
### 10. PP-YOLOE 系列
| 模型名称 | config |
| :--- | :---: |
| PP-YOLOE-L_vehicle | [PP-YOLOE-vehicle-L.yaml](../../../paddlex/configs/vehicle_detection/PP-YOLOE-L_vehicle.yaml)|
| PP-YOLOE-S_vehicle | [PP-YOLOE-vehicle-S.yaml](../../../paddlex/configs/vehicle_detection/PP-YOLOE-S_vehicle.yaml)|
| PP-YOLOE-L_human | [PP-YOLOE-human-L.yaml](../../../paddlex/configs/human_detection/PP-YOLOE-L_human.yaml)|
| PP-YOLOE-S_human | [PP-YOLOE-human-S.yaml](../../../paddlex/configs/human_detection/PP-YOLOE-S_human.yaml)|
### 11. CenterNet 系列
| 模型名称 | config |
| :--- | :---: |
| CenterNet-DLA-34 | [CenterNet-DLA-34.yaml](../../../paddlex/configs/object_detection/CenterNet-DLA-34.yaml)|
| CenterNet-ResNet50 | [CenterNet-ResNet50.yaml](../../../paddlex/configs/object_detection/CenterNet-ResNet50.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)|
| OCRNet_HRNet-W18 | [OCRNet_HRNet-W18.yaml](../../../paddlex/configs/semantic_segmentation/OCRNet_HRNet-W18.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)|
| PP-LiteSeg-B | [PP-LiteSeg-B.yaml](../../../paddlex/configs/semantic_segmentation/PP-LiteSeg-B.yaml)|
### 4.SegFormer 系列
| 模型名称 | config |
| :--- | :---: |
| SegFormer-B0 | [SegFormer-B0.yaml](../../../paddlex/configs/semantic_segmentation/SegFormer-B0.yaml)|
| SegFormer-B1 | [SegFormer-B1.yaml](../../../paddlex/configs/semantic_segmentation/SegFormer-B1.yaml)|
| SegFormer-B2 | [SegFormer-B2.yaml](../../../paddlex/configs/semantic_segmentation/SegFormer-B2.yaml)|
| SegFormer-B3 | [SegFormer-B3.yaml](../../../paddlex/configs/semantic_segmentation/SegFormer-B3.yaml)|
| SegFormer-B4 | [SegFormer-B4.yaml](../../../paddlex/configs/semantic_segmentation/SegFormer-B4.yaml)|
| SegFormer-B5 | [SegFormer-B5.yaml](../../../paddlex/configs/semantic_segmentation/SegFormer-B5.yaml)|
### 5.SeaFormer 系列
| 模型名称 | config |
| :--- | :---: |
| SeaFormer_tiny | [SeaFormer_tiny.yaml](../../../paddlex/configs/semantic_segmentation/SeaFormer_tiny.yaml)|
| SeaFormer_small | [SeaFormer_small.yaml](../../../paddlex/configs/semantic_segmentation/SeaFormer_small.yaml)|
| SeaFormer_base | [SeaFormer_base.yaml](../../../paddlex/configs/semantic_segmentation/SeaFormer_base.yaml)|
| SeaFormer_large | [SeaFormer_large.yaml](../../../paddlex/configs/semantic_segmentation/SeaFormer_large.yaml)|
### 6.STFPM 系列
| 模型名称 | config |
| :--- | :---: |
| STFPM | [STFPM.yaml](../../../paddlex/configs/anomaly_detection/STFPM.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常规文本检测系列
| 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)|

### 1.PP-OCRv4 印章文本检测系列
| 模型名称 | config |
| :--- | :---: |
| PP-OCRv4_server_seal_det | [PP-OCRv4_server_seal_det.yaml](../../../paddlex/configs/text_detection_seal/PP-OCRv4_server_seal_det.yaml)|
| PP-OCRv4_mobile_seal_det | [PP-OCRv4_mobile_det.yaml](../../../paddlex/configs/text_detection_seal/PP-OCRv4_mobile_seal_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、公式识别
| 模型名称 | config |
| :--- | :---: |
| LaTeX_OCR_rec | [LaTeX_OCR_rec.yml](../../../paddlex/configs/text_recognition/LaTeX_OCR_rec.yml)|
## 九、版面分析
| 模型名称 | config |
| :--- | :---: |
| PicoDet_layout_1x | [PicoDet_layout_1x.yaml](../../../paddlex/configs/structure_analysis/PicoDet_layout_1x.yaml)|
| PicoDet-L_layout | [PicoDet-L_layout.yaml](../../../paddlex/configs/structure_analysis/PicoDet-L_layout.yaml)|
| RT-DETR-H_layout_3cls | [RT-DETR-H_layout.yaml](../../../paddlex/configs/structure_analysis/RT-DETR-H_layout_3cls.yaml)|
| RT-DETR-H_layout_17cls | [RT-DETR-H_layout.yaml](../../../paddlex/configs/structure_analysis/RT-DETR-H_layout_17cls.yaml)|
## 十、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)|
## 十一、时序分类
| 模型名称 | config |
| :--- | :---: |
| TimesNet_cls | [TimesNet_cls.yaml](../../../paddlex/configs/ts_classification/TimesNet_cls.yaml)|
## 十二、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)|