Collections:
  - Name: PSPNet
    Metadata:
      Training Data:
        - Cityscapes
        - Pascal Context
        - Pascal VOC 2012 + Aug
        - ADE20K

Models:

  - Name: pspnet_r50-d8_512x1024_40k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 4.07
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 77.85
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes/pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth
    Config: configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py



  - Name: pspnet_r101-d8_512x1024_40k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 2.68
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 78.34
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes/pspnet_r101-d8_512x1024_40k_cityscapes_20200604_232751-467e7cf4.pth
    Config: configs/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes.py



  - Name: pspnet_r50-d8_769x769_40k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 1.76
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 78.26
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_40k_cityscapes/pspnet_r50-d8_769x769_40k_cityscapes_20200606_112725-86638686.pth
    Config: configs/pspnet/pspnet_r50-d8_769x769_40k_cityscapes.py



  - Name: pspnet_r101-d8_769x769_40k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 1.15
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 79.08
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_40k_cityscapes/pspnet_r101-d8_769x769_40k_cityscapes_20200606_112753-61c6f5be.pth
    Config: configs/pspnet/pspnet_r101-d8_769x769_40k_cityscapes.py



  - Name: pspnet_r18-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 15.71
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 74.87
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x1024_80k_cityscapes/pspnet_r18-d8_512x1024_80k_cityscapes_20201225_021458-09ffa746.pth
    Config: configs/pspnet/pspnet_r18-d8_512x1024_80k_cityscapes.py



  - Name: pspnet_r50-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 4.07
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 78.55
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_512x1024_80k_cityscapes_20200606_112131-2376f12b.pth
    Config: configs/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes.py



  - Name: pspnet_r101-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 2.68
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 79.76
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes/pspnet_r101-d8_512x1024_80k_cityscapes_20200606_112211-e1e1100f.pth
    Config: configs/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes.py



  - Name: pspnet_r18-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 6.20
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 75.90
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_769x769_80k_cityscapes/pspnet_r18-d8_769x769_80k_cityscapes_20201225_021458-3deefc62.pth
    Config: configs/pspnet/pspnet_r18-d8_769x769_80k_cityscapes.py



  - Name: pspnet_r50-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 1.76
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 79.59
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_80k_cityscapes/pspnet_r50-d8_769x769_80k_cityscapes_20200606_210121-5ccf03dd.pth
    Config: configs/pspnet/pspnet_r50-d8_769x769_80k_cityscapes.py



  - Name: pspnet_r101-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 1.15
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 79.77
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_80k_cityscapes/pspnet_r101-d8_769x769_80k_cityscapes_20200606_225055-dba412fa.pth
    Config: configs/pspnet/pspnet_r101-d8_769x769_80k_cityscapes.py



  - Name: pspnet_r18b-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 16.28
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 74.23
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_512x1024_80k_cityscapes/pspnet_r18b-d8_512x1024_80k_cityscapes_20201226_063116-26928a60.pth
    Config: configs/pspnet/pspnet_r18b-d8_512x1024_80k_cityscapes.py



  - Name: pspnet_r50b-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 4.30
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 78.22
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes/pspnet_r50b-d8_512x1024_80k_cityscapes_20201225_094315-6344287a.pth
    Config: configs/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes.py



  - Name: pspnet_r101b-d8_512x1024_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 2.76
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 79.69
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes/pspnet_r101b-d8_512x1024_80k_cityscapes_20201226_170012-3a4d38ab.pth
    Config: configs/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes.py



  - Name: pspnet_r18b-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 6.41
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 74.92
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_769x769_80k_cityscapes/pspnet_r18b-d8_769x769_80k_cityscapes_20201226_080942-bf98d186.pth
    Config: configs/pspnet/pspnet_r18b-d8_769x769_80k_cityscapes.py



  - Name: pspnet_r50b-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 1.88
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 78.50
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes/pspnet_r50b-d8_769x769_80k_cityscapes_20201225_094316-4c643cf6.pth
    Config: configs/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes.py



  - Name: pspnet_r101b-d8_769x769_80k_cityscapes
    In Collection: PSPNet
    Metadata:
      inference time (fps): 1.17
    Results:
      - Task: Semantic Segmentation
        Dataset: Cityscapes
        Metrics:
          mIoU: 78.87
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes/pspnet_r101b-d8_769x769_80k_cityscapes_20201226_171823-f0e7c293.pth
    Config: configs/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes.py



  - Name: pspnet_r50-d8_512x512_80k_ade20k
    In Collection: PSPNet
    Metadata:
      inference time (fps): 23.53
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
        Metrics:
          mIoU: 41.13
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_ade20k/pspnet_r50-d8_512x512_80k_ade20k_20200615_014128-15a8b914.pth
    Config: configs/pspnet/pspnet_r50-d8_512x512_80k_ade20k.py



  - Name: pspnet_r101-d8_512x512_80k_ade20k
    In Collection: PSPNet
    Metadata:
      inference time (fps): 15.30
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
        Metrics:
          mIoU: 43.57
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_ade20k/pspnet_r101-d8_512x512_80k_ade20k_20200614_031423-b6e782f0.pth
    Config: configs/pspnet/pspnet_r101-d8_512x512_80k_ade20k.py



  - Name: pspnet_r50-d8_512x512_160k_ade20k
    In Collection: PSPNet
    Metadata:
      inference time (fps): 23.53
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
        Metrics:
          mIoU: 42.48
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_160k_ade20k/pspnet_r50-d8_512x512_160k_ade20k_20200615_184358-1890b0bd.pth
    Config: configs/pspnet/pspnet_r50-d8_512x512_160k_ade20k.py



  - Name: pspnet_r101-d8_512x512_160k_ade20k
    In Collection: PSPNet
    Metadata:
      inference time (fps): 15.30
    Results:
      - Task: Semantic Segmentation
        Dataset: ADE20K
        Metrics:
          mIoU: 44.39
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_160k_ade20k/pspnet_r101-d8_512x512_160k_ade20k_20200615_100650-967c316f.pth
    Config: configs/pspnet/pspnet_r101-d8_512x512_160k_ade20k.py



  - Name: pspnet_r50-d8_512x512_20k_voc12aug
    In Collection: PSPNet
    Metadata:
      inference time (fps): 23.59
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
        Metrics:
          mIoU: 76.78
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_20k_voc12aug/pspnet_r50-d8_512x512_20k_voc12aug_20200617_101958-ed5dfbd9.pth
    Config: configs/pspnet/pspnet_r50-d8_512x512_20k_voc12aug.py



  - Name: pspnet_r101-d8_512x512_20k_voc12aug
    In Collection: PSPNet
    Metadata:
      inference time (fps): 15.02
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
        Metrics:
          mIoU: 78.47
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_20k_voc12aug/pspnet_r101-d8_512x512_20k_voc12aug_20200617_102003-4aef3c9a.pth
    Config: configs/pspnet/pspnet_r101-d8_512x512_20k_voc12aug.py



  - Name: pspnet_r50-d8_512x512_40k_voc12aug
    In Collection: PSPNet
    Metadata:
      inference time (fps): 23.59
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
        Metrics:
          mIoU: 77.29
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_40k_voc12aug/pspnet_r50-d8_512x512_40k_voc12aug_20200613_161222-ae9c1b8c.pth
    Config: configs/pspnet/pspnet_r50-d8_512x512_40k_voc12aug.py



  - Name: pspnet_r101-d8_512x512_40k_voc12aug
    In Collection: PSPNet
    Metadata:
      inference time (fps): 15.02
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal VOC 2012 + Aug
        Metrics:
          mIoU: 78.52
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_40k_voc12aug/pspnet_r101-d8_512x512_40k_voc12aug_20200613_161222-bc933b18.pth
    Config: configs/pspnet/pspnet_r101-d8_512x512_40k_voc12aug.py



  - Name: pspnet_r101-d8_480x480_40k_pascal_context
    In Collection: PSPNet
    Metadata:
      inference time (fps): 9.68
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
        Metrics:
          mIoU: 46.60
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context/pspnet_r101-d8_480x480_40k_pascal_context_20200911_211210-bf0f5d7c.pth
    Config: configs/pspnet/pspnet_r101-d8_480x480_40k_pascal_context.py



  - Name: pspnet_r101-d8_480x480_80k_pascal_context
    In Collection: PSPNet
    Metadata:
      inference time (fps): 9.68
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
        Metrics:
          mIoU: 46.03
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context/pspnet_r101-d8_480x480_80k_pascal_context_20200911_190530-c86d6233.pth
    Config: configs/pspnet/pspnet_r101-d8_480x480_80k_pascal_context.py



  - Name: pspnet_r101-d8_480x480_40k_pascal_context
    In Collection: PSPNet
    Metadata:
      inference time (fps): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
        Metrics:
          mIoU: 52.02
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context_59/pspnet_r101-d8_480x480_40k_pascal_context_59_20210416_114524-86d44cd4.pth
    Config: configs/pspnet/pspnet_r101-d8_480x480_40k_pascal_context.py



  - Name: pspnet_r101-d8_480x480_80k_pascal_context_59
    In Collection: PSPNet
    Metadata:
      inference time (fps): None
    Results:
      - Task: Semantic Segmentation
        Dataset: Pascal Context
        Metrics:
          mIoU: 52.47
    Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59/pspnet_r101-d8_480x480_80k_pascal_context_59_20210416_114418-fa6caaa2.pth
    Config: configs/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59.py