Collections:
- Name: DeepLabV3+
  License: Apache License 2.0
  Metadata:
    Training Data:
    - Cityscapes
    - ADE20K
    - Pascal VOC 2012 + Aug
    - Pascal Context
    - Pascal Context 59
    - LoveDA
    - Potsdam
    - Vaihingen
    - iSAID
    - Mapillary Vistas v1.2
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  README: configs/deeplabv3plus/README.md
  Frameworks:
  - PyTorch
Models:
- Name: deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 79.61
      mIoU(ms+flip): 81.01
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 7.5
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes/deeplabv3plus_r50-d8_512x1024_40k_cityscapes_20200605_094610-d222ffcd.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes/deeplabv3plus_r50-d8_512x1024_40k_cityscapes_20200605_094610.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-40k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.21
      mIoU(ms+flip): 81.82
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-40k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 11.0
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes/deeplabv3plus_r101-d8_512x1024_40k_cityscapes_20200605_094614-3769eecf.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_40k_cityscapes/deeplabv3plus_r101-d8_512x1024_40k_cityscapes_20200605_094614.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 78.97
      mIoU(ms+flip): 80.46
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 8.5
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_40k_cityscapes/deeplabv3plus_r50-d8_769x769_40k_cityscapes_20200606_114143-1dcb0e3c.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_40k_cityscapes/deeplabv3plus_r50-d8_769x769_40k_cityscapes_20200606_114143.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-40k_cityscapes-769x769
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 79.46
      mIoU(ms+flip): 80.5
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-40k_cityscapes-769x769.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 12.5
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes/deeplabv3plus_r101-d8_769x769_40k_cityscapes_20200606_114304-ff414b9e.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_40k_cityscapes/deeplabv3plus_r101-d8_769x769_40k_cityscapes_20200606_114304.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb2-80k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 76.89
      mIoU(ms+flip): 78.76
  Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb2-80k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-18-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 2.2
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x1024_80k_cityscapes/deeplabv3plus_r18-d8_512x1024_80k_cityscapes_20201226_080942-cff257fe.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x1024_80k_cityscapes/deeplabv3plus_r18-d8_512x1024_80k_cityscapes-20201226_080942.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.09
      mIoU(ms+flip): 81.13
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-80k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes/deeplabv3plus_r50-d8_512x1024_80k_cityscapes_20200606_114049-f9fb496d.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_80k_cityscapes/deeplabv3plus_r50-d8_512x1024_80k_cityscapes_20200606_114049.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.97
      mIoU(ms+flip): 82.03
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_cityscapes_20200606_114143-068fcfe9.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_512x1024_80k_cityscapes_20200606_114143.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-amp-80k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.46
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-amp-80k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101-D8
    - DeepLabV3+
    - (FP16)
    Training Resources: 4x V100 GPUS
    Memory (GB): 6.35
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230920-f1104f4b.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes/deeplabv3plus_r101-d8_fp16_512x1024_80k_cityscapes_20200717_230920.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb2-80k_cityscapes-769x769
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 76.26
      mIoU(ms+flip): 77.91
  Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb2-80k_cityscapes-769x769.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-18-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 2.5
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_769x769_80k_cityscapes/deeplabv3plus_r18-d8_769x769_80k_cityscapes_20201226_083346-f326e06a.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_769x769_80k_cityscapes/deeplabv3plus_r18-d8_769x769_80k_cityscapes-20201226_083346.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb2-80k_cityscapes-769x769
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 79.83
      mIoU(ms+flip): 81.48
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-80k_cityscapes-769x769.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233-0e9dfdc4.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_769x769_80k_cityscapes/deeplabv3plus_r50-d8_769x769_80k_cityscapes_20200606_210233.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb2-80k_cityscapes-769x769
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.65
      mIoU(ms+flip): 81.47
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-769x769.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20220406_154720-dfcc0b68.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_769x769_80k_cityscapes/deeplabv3plus_r101-d8_769x769_80k_cityscapes_20220406_154720.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: ddeeplabv3plus_r101-d16-mg124_4xb2-40k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 79.09
      mIoU(ms+flip): 80.36
  Config: configs/deeplabv3plus/ddeeplabv3plus_r101-d16-mg124_4xb2-40k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101-D16-MG124
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 5.8
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes_20200908_005644-cf9ce186.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_40k_cityscapes-20200908_005644.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d16-mg124_4xb2-80k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 79.9
      mIoU(ms+flip): 81.33
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d16-mg124_4xb2-80k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101-D16-MG124
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 9.9
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes_20200908_005644-ee6158e0.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes-20200908_005644.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 75.87
      mIoU(ms+flip): 77.52
  Config: configs/deeplabv3plus/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-18b-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 2.1
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes_20201226_090828-e451abd9.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes/deeplabv3plus_r18b-d8_512x1024_80k_cityscapes-20201226_090828.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.28
      mIoU(ms+flip): 81.44
  Config: configs/deeplabv3plus/deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-50b-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 7.4
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes_20201225_213645-a97e4e43.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes/deeplabv3plus_r50b-d8_512x1024_80k_cityscapes-20201225_213645.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-512x1024
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 80.16
      mIoU(ms+flip): 81.41
  Config: configs/deeplabv3plus/deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-512x1024.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101b-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 10.9
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes_20201226_190843-9c3c93a4.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes/deeplabv3plus_r101b-d8_512x1024_80k_cityscapes-20201226_190843.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 76.36
      mIoU(ms+flip): 78.24
  Config: configs/deeplabv3plus/deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-18b-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 2.4
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_769x769_80k_cityscapes/deeplabv3plus_r18b-d8_769x769_80k_cityscapes_20201226_151312-2c868aff.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18b-d8_769x769_80k_cityscapes/deeplabv3plus_r18b-d8_769x769_80k_cityscapes-20201226_151312.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-769x769
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 79.41
      mIoU(ms+flip): 80.56
  Config: configs/deeplabv3plus/deeplabv3plus_r50b-d8_4xb2-80k_cityscapes-769x769.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-50b-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 8.4
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes/deeplabv3plus_r50b-d8_769x769_80k_cityscapes_20201225_224655-8b596d1c.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50b-d8_769x769_80k_cityscapes/deeplabv3plus_r50b-d8_769x769_80k_cityscapes-20201225_224655.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-769x769
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Cityscapes
    Metrics:
      mIoU: 79.88
      mIoU(ms+flip): 81.46
  Config: configs/deeplabv3plus/deeplabv3plus_r101b-d8_4xb2-80k_cityscapes-769x769.py
  Metadata:
    Training Data: Cityscapes
    Batch Size: 8
    Architecture:
    - R-101b-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 12.3
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes/deeplabv3plus_r101b-d8_769x769_80k_cityscapes_20201226_205041-227cdf7c.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101b-d8_769x769_80k_cityscapes/deeplabv3plus_r101b-d8_769x769_80k_cityscapes-20201226_205041.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_ade20k-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: ADE20K
    Metrics:
      mIoU: 42.72
      mIoU(ms+flip): 43.75
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_ade20k-512x512.py
  Metadata:
    Training Data: ADE20K
    Batch Size: 16
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 10.6
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_ade20k/deeplabv3plus_r50-d8_512x512_80k_ade20k_20200614_185028-bf1400d8.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_ade20k/deeplabv3plus_r50-d8_512x512_80k_ade20k_20200614_185028.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: ADE20K
    Metrics:
      mIoU: 44.6
      mIoU(ms+flip): 46.06
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512.py
  Metadata:
    Training Data: ADE20K
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 14.1
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k/deeplabv3plus_r101-d8_512x512_80k_ade20k_20200615_014139-d5730af7.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_ade20k/deeplabv3plus_r101-d8_512x512_80k_ade20k_20200615_014139.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-160k_ade20k-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: ADE20K
    Metrics:
      mIoU: 43.95
      mIoU(ms+flip): 44.93
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-160k_ade20k-512x512.py
  Metadata:
    Training Data: ADE20K
    Batch Size: 16
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_160k_ade20k/deeplabv3plus_r50-d8_512x512_160k_ade20k_20200615_124504-6135c7e0.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_160k_ade20k/deeplabv3plus_r50-d8_512x512_160k_ade20k_20200615_124504.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: ADE20K
    Metrics:
      mIoU: 45.47
      mIoU(ms+flip): 46.35
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-160k_ade20k-512x512.py
  Metadata:
    Training Data: ADE20K
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k/deeplabv3plus_r101-d8_512x512_160k_ade20k_20200615_123232-38ed86bb.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_160k_ade20k/deeplabv3plus_r101-d8_512x512_160k_ade20k_20200615_123232.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-20k_voc12aug-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Pascal VOC 2012 + Aug
    Metrics:
      mIoU: 75.93
      mIoU(ms+flip): 77.5
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-20k_voc12aug-512x512.py
  Metadata:
    Training Data: Pascal VOC 2012 + Aug
    Batch Size: 16
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 7.6
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_20k_voc12aug/deeplabv3plus_r50-d8_512x512_20k_voc12aug_20200617_102323-aad58ef1.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_20k_voc12aug/deeplabv3plus_r50-d8_512x512_20k_voc12aug_20200617_102323.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-20k_voc12aug-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Pascal VOC 2012 + Aug
    Metrics:
      mIoU: 77.22
      mIoU(ms+flip): 78.59
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-20k_voc12aug-512x512.py
  Metadata:
    Training Data: Pascal VOC 2012 + Aug
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 11.0
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug/deeplabv3plus_r101-d8_512x512_20k_voc12aug_20200617_102345-c7ff3d56.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_20k_voc12aug/deeplabv3plus_r101-d8_512x512_20k_voc12aug_20200617_102345.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-40k_voc12aug-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Pascal VOC 2012 + Aug
    Metrics:
      mIoU: 76.81
      mIoU(ms+flip): 77.57
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-40k_voc12aug-512x512.py
  Metadata:
    Training Data: Pascal VOC 2012 + Aug
    Batch Size: 16
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_40k_voc12aug/deeplabv3plus_r50-d8_512x512_40k_voc12aug_20200613_161759-e1b43aa9.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_40k_voc12aug/deeplabv3plus_r50-d8_512x512_40k_voc12aug_20200613_161759.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-40k_voc12aug-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Pascal VOC 2012 + Aug
    Metrics:
      mIoU: 78.62
      mIoU(ms+flip): 79.53
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-40k_voc12aug-512x512.py
  Metadata:
    Training Data: Pascal VOC 2012 + Aug
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug/deeplabv3plus_r101-d8_512x512_40k_voc12aug_20200613_205333-faf03387.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_40k_voc12aug/deeplabv3plus_r101-d8_512x512_40k_voc12aug_20200613_205333.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-40k_pascal-context-480x480
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Pascal Context
    Metrics:
      mIoU: 47.3
      mIoU(ms+flip): 48.47
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-40k_pascal-context-480x480.py
  Metadata:
    Training Data: Pascal Context
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context/deeplabv3plus_r101-d8_480x480_40k_pascal_context_20200911_165459-d3c8a29e.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context/deeplabv3plus_r101-d8_480x480_40k_pascal_context-20200911_165459.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_pascal-context-480x480
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Pascal Context
    Metrics:
      mIoU: 47.23
      mIoU(ms+flip): 48.26
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_pascal-context-480x480.py
  Metadata:
    Training Data: Pascal Context
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context/deeplabv3plus_r101-d8_480x480_80k_pascal_context_20200911_155322-145d3ee8.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context/deeplabv3plus_r101-d8_480x480_80k_pascal_context-20200911_155322.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-40k_pascal-context-59-480x480
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Pascal Context 59
    Metrics:
      mIoU: 52.86
      mIoU(ms+flip): 54.54
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-40k_pascal-context-59-480x480.py
  Metadata:
    Training Data: Pascal Context 59
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59_20210416_111233-ed937f15.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59/deeplabv3plus_r101-d8_480x480_40k_pascal_context_59-20210416_111233.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-80k_pascal-context-59-480x480
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Pascal Context 59
    Metrics:
      mIoU: 53.2
      mIoU(ms+flip): 54.67
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_pascal-context-59-480x480.py
  Metadata:
    Training Data: Pascal Context 59
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59_20210416_111127-7ca0331d.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59/deeplabv3plus_r101-d8_480x480_80k_pascal_context_59-20210416_111127.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb4-80k_loveda-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: LoveDA
    Metrics:
      mIoU: 50.28
      mIoU(ms+flip): 50.47
  Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_loveda-512x512.py
  Metadata:
    Training Data: LoveDA
    Batch Size: 16
    Architecture:
    - R-18-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 1.93
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_loveda/deeplabv3plus_r18-d8_512x512_80k_loveda_20211104_132800-ce0fa0ca.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_loveda/deeplabv3plus_r18-d8_512x512_80k_loveda_20211104_132800.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_loveda-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: LoveDA
    Metrics:
      mIoU: 50.99
      mIoU(ms+flip): 50.65
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_loveda-512x512.py
  Metadata:
    Training Data: LoveDA
    Batch Size: 16
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 7.37
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_loveda/deeplabv3plus_r50-d8_512x512_80k_loveda_20211105_080442-f0720392.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_loveda/deeplabv3plus_r50-d8_512x512_80k_loveda_20211105_080442.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-80k_loveda-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: LoveDA
    Metrics:
      mIoU: 51.47
      mIoU(ms+flip): 51.32
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_loveda-512x512.py
  Metadata:
    Training Data: LoveDA
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 10.84
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda/deeplabv3plus_r101-d8_512x512_80k_loveda_20211105_110759-4c1f297e.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_loveda/deeplabv3plus_r101-d8_512x512_80k_loveda_20211105_110759.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb4-80k_potsdam-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Potsdam
    Metrics:
      mIoU: 77.09
      mIoU(ms+flip): 78.44
  Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_potsdam-512x512.py
  Metadata:
    Training Data: Potsdam
    Batch Size: 16
    Architecture:
    - R-18-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 1.91
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_potsdam/deeplabv3plus_r18-d8_512x512_80k_potsdam_20211219_020601-75fd5bc3.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_512x512_80k_potsdam/deeplabv3plus_r18-d8_512x512_80k_potsdam_20211219_020601.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_potsdam-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Potsdam
    Metrics:
      mIoU: 78.33
      mIoU(ms+flip): 79.27
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_potsdam-512x512.py
  Metadata:
    Training Data: Potsdam
    Batch Size: 16
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 7.36
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_potsdam/deeplabv3plus_r50-d8_512x512_80k_potsdam_20211219_031508-7e7a2b24.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_512x512_80k_potsdam/deeplabv3plus_r50-d8_512x512_80k_potsdam_20211219_031508.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-80k_potsdam-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Potsdam
    Metrics:
      mIoU: 78.7
      mIoU(ms+flip): 79.47
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_potsdam-512x512.py
  Metadata:
    Training Data: Potsdam
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 10.83
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam/deeplabv3plus_r101-d8_512x512_80k_potsdam_20211219_031508-8b112708.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_512x512_80k_potsdam/deeplabv3plus_r101-d8_512x512_80k_potsdam_20211219_031508.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb4-80k_vaihingen-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Vaihingen
    Metrics:
      mIoU: 72.5
      mIoU(ms+flip): 74.13
  Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_vaihingen-512x512.py
  Metadata:
    Training Data: Vaihingen
    Batch Size: 16
    Architecture:
    - R-18-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 1.91
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen_20211231_230805-7626a263.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r18-d8_4x4_512x512_80k_vaihingen_20211231_230805.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_vaihingen-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Vaihingen
    Metrics:
      mIoU: 73.97
      mIoU(ms+flip): 75.05
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_vaihingen-512x512.py
  Metadata:
    Training Data: Vaihingen
    Batch Size: 16
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 7.36
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen_20211231_230816-5040938d.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r50-d8_4x4_512x512_80k_vaihingen_20211231_230816.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r101-d8_4xb4-80k_vaihingen-512x512
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Vaihingen
    Metrics:
      mIoU: 73.06
      mIoU(ms+flip): 74.14
  Config: configs/deeplabv3plus/deeplabv3plus_r101-d8_4xb4-80k_vaihingen-512x512.py
  Metadata:
    Training Data: Vaihingen
    Batch Size: 16
    Architecture:
    - R-101-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 10.83
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen_20211231_230816-8a095afa.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen/deeplabv3plus_r101-d8_4x4_512x512_80k_vaihingen_20211231_230816.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r18-d8_4xb4-80k_isaid-896x896
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: iSAID
    Metrics:
      mIoU: 61.35
      mIoU(ms+flip): 62.61
  Config: configs/deeplabv3plus/deeplabv3plus_r18-d8_4xb4-80k_isaid-896x896.py
  Metadata:
    Training Data: iSAID
    Batch Size: 16
    Architecture:
    - R-18-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 6.19
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid_20220110_180526-7059991d.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid/deeplabv3plus_r18-d8_4x4_896x896_80k_isaid_20220110_180526.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb4-80k_isaid-896x896
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: iSAID
    Metrics:
      mIoU: 67.06
      mIoU(ms+flip): 68.02
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb4-80k_isaid-896x896.py
  Metadata:
    Training Data: iSAID
    Batch Size: 16
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x V100 GPUS
    Memory (GB): 21.45
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid_20220110_180526-598be439.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid/deeplabv3plus_r50-d8_4x4_896x896_80k_isaid_20220110_180526.log.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
- Name: deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280
  In Collection: DeepLabV3+
  Results:
    Task: Semantic Segmentation
    Dataset: Mapillary Vistas v1.2
    Metrics:
      mIoU: 47.35
  Config: configs/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280.py
  Metadata:
    Training Data: Mapillary Vistas v1.2
    Batch Size: 8
    Architecture:
    - R-50-D8
    - DeepLabV3+
    Training Resources: 4x A100 GPUS
    Memory (GB): 24.04
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280_20230301_110504-655f8e43.pth
  Training log: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3plus/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280/deeplabv3plus_r50-d8_4xb2-300k_mapillay_v1_65-1280x1280_20230301_110504.json
  Paper:
    Title: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    URL: https://arxiv.org/abs/1802.02611
  Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/sep_aspp_head.py#L30
  Framework: PyTorch
