Collections: - Name: DeepLabV3 Metadata: Training Data: - Cityscapes - Pascal Context - Pascal VOC 2012 + Aug - ADE20K Models: - Name: deeplabv3_r50-d8_512x1024_40k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 2.57 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 79.09 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes/deeplabv3_r50-d8_512x1024_40k_cityscapes_20200605_022449-acadc2f8.pth Config: configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py - Name: deeplabv3_r101-d8_512x1024_40k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 1.92 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 77.12 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_512x1024_40k_cityscapes/deeplabv3_r101-d8_512x1024_40k_cityscapes_20200605_012241-7fd3f799.pth Config: configs/deeplabv3/deeplabv3_r101-d8_512x1024_40k_cityscapes.py - Name: deeplabv3_r50-d8_769x769_40k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 1.11 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 78.58 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50-d8_769x769_40k_cityscapes/deeplabv3_r50-d8_769x769_40k_cityscapes_20200606_113723-7eda553c.pth Config: configs/deeplabv3/deeplabv3_r50-d8_769x769_40k_cityscapes.py - Name: deeplabv3_r101-d8_769x769_40k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 0.83 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 79.27 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_769x769_40k_cityscapes/deeplabv3_r101-d8_769x769_40k_cityscapes_20200606_113809-c64f889f.pth Config: configs/deeplabv3/deeplabv3_r101-d8_769x769_40k_cityscapes.py - Name: deeplabv3_r18-d8_512x1024_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 13.78 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 76.70 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r18-d8_512x1024_80k_cityscapes/deeplabv3_r18-d8_512x1024_80k_cityscapes_20201225_021506-23dffbe2.pth Config: configs/deeplabv3/deeplabv3_r18-d8_512x1024_80k_cityscapes.py - Name: deeplabv3_r50-d8_512x1024_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 2.57 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 79.32 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50-d8_512x1024_80k_cityscapes/deeplabv3_r50-d8_512x1024_80k_cityscapes_20200606_113404-b92cfdd4.pth Config: configs/deeplabv3/deeplabv3_r50-d8_512x1024_80k_cityscapes.py - Name: deeplabv3_r101-d8_512x1024_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 1.92 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 80.20 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_512x1024_80k_cityscapes/deeplabv3_r101-d8_512x1024_80k_cityscapes_20200606_113503-9e428899.pth Config: configs/deeplabv3/deeplabv3_r101-d8_512x1024_80k_cityscapes.py - Name: deeplabv3_r18-d8_769x769_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 5.55 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 76.60 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r18-d8_769x769_80k_cityscapes/deeplabv3_r18-d8_769x769_80k_cityscapes_20201225_021506-6452126a.pth Config: configs/deeplabv3/deeplabv3_r18-d8_769x769_80k_cityscapes.py - Name: deeplabv3_r50-d8_769x769_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 1.11 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 79.89 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50-d8_769x769_80k_cityscapes/deeplabv3_r50-d8_769x769_80k_cityscapes_20200606_221338-788d6228.pth Config: configs/deeplabv3/deeplabv3_r50-d8_769x769_80k_cityscapes.py - Name: deeplabv3_r101-d8_769x769_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 0.83 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 79.67 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_769x769_80k_cityscapes/deeplabv3_r101-d8_769x769_80k_cityscapes_20200607_013353-60e95418.pth Config: configs/deeplabv3/deeplabv3_r101-d8_769x769_80k_cityscapes.py - Name: deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 6.96 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 76.71 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes/deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes_20200908_005644-67b0c992.pth Config: configs/deeplabv3/deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py - Name: deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 6.96 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 78.36 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes/deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes_20200908_005644-57bb8425.pth Config: configs/deeplabv3/deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py - Name: deeplabv3_r18b-d8_512x1024_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 13.93 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 76.26 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r18b-d8_512x1024_80k_cityscapes/deeplabv3_r18b-d8_512x1024_80k_cityscapes_20201225_094144-46040cef.pth Config: configs/deeplabv3/deeplabv3_r18b-d8_512x1024_80k_cityscapes.py - Name: deeplabv3_r50b-d8_512x1024_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 2.74 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 79.63 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50b-d8_512x1024_80k_cityscapes/deeplabv3_r50b-d8_512x1024_80k_cityscapes_20201225_155148-ec368954.pth Config: configs/deeplabv3/deeplabv3_r50b-d8_512x1024_80k_cityscapes.py - Name: deeplabv3_r101b-d8_512x1024_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 1.81 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 80.01 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101b-d8_512x1024_80k_cityscapes/deeplabv3_r101b-d8_512x1024_80k_cityscapes_20201226_171821-8fd49503.pth Config: configs/deeplabv3/deeplabv3_r101b-d8_512x1024_80k_cityscapes.py - Name: deeplabv3_r18b-d8_769x769_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 5.79 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 76.63 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r18b-d8_769x769_80k_cityscapes/deeplabv3_r18b-d8_769x769_80k_cityscapes_20201225_094144-fdc985d9.pth Config: configs/deeplabv3/deeplabv3_r18b-d8_769x769_80k_cityscapes.py - Name: deeplabv3_r50b-d8_769x769_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 1.16 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 78.80 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50b-d8_769x769_80k_cityscapes/deeplabv3_r50b-d8_769x769_80k_cityscapes_20201225_155404-87fb0cf4.pth Config: configs/deeplabv3/deeplabv3_r50b-d8_769x769_80k_cityscapes.py - Name: deeplabv3_r101b-d8_769x769_80k_cityscapes In Collection: DeepLabV3 Metadata: inference time (fps): 0.82 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 79.41 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101b-d8_769x769_80k_cityscapes/deeplabv3_r101b-d8_769x769_80k_cityscapes_20201226_190843-9142ee57.pth Config: configs/deeplabv3/deeplabv3_r101b-d8_769x769_80k_cityscapes.py - Name: deeplabv3_r50-d8_512x512_80k_ade20k In Collection: DeepLabV3 Metadata: inference time (fps): 14.76 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 42.42 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50-d8_512x512_80k_ade20k/deeplabv3_r50-d8_512x512_80k_ade20k_20200614_185028-0bb3f844.pth Config: configs/deeplabv3/deeplabv3_r50-d8_512x512_80k_ade20k.py - Name: deeplabv3_r101-d8_512x512_80k_ade20k In Collection: DeepLabV3 Metadata: inference time (fps): 10.14 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 44.08 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_512x512_80k_ade20k/deeplabv3_r101-d8_512x512_80k_ade20k_20200615_021256-d89c7fa4.pth Config: configs/deeplabv3/deeplabv3_r101-d8_512x512_80k_ade20k.py - Name: deeplabv3_r50-d8_512x512_160k_ade20k In Collection: DeepLabV3 Metadata: inference time (fps): 14.76 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 42.66 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50-d8_512x512_160k_ade20k/deeplabv3_r50-d8_512x512_160k_ade20k_20200615_123227-5d0ee427.pth Config: configs/deeplabv3/deeplabv3_r50-d8_512x512_160k_ade20k.py - Name: deeplabv3_r101-d8_512x512_160k_ade20k In Collection: DeepLabV3 Metadata: inference time (fps): 10.14 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 45.00 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_512x512_160k_ade20k/deeplabv3_r101-d8_512x512_160k_ade20k_20200615_105816-b1f72b3b.pth Config: configs/deeplabv3/deeplabv3_r101-d8_512x512_160k_ade20k.py - Name: deeplabv3_r50-d8_512x512_20k_voc12aug In Collection: DeepLabV3 Metadata: inference time (fps): 13.88 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 76.17 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50-d8_512x512_20k_voc12aug/deeplabv3_r50-d8_512x512_20k_voc12aug_20200617_010906-596905ef.pth Config: configs/deeplabv3/deeplabv3_r50-d8_512x512_20k_voc12aug.py - Name: deeplabv3_r101-d8_512x512_20k_voc12aug In Collection: DeepLabV3 Metadata: inference time (fps): 9.81 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 78.70 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_512x512_20k_voc12aug/deeplabv3_r101-d8_512x512_20k_voc12aug_20200617_010932-8d13832f.pth Config: configs/deeplabv3/deeplabv3_r101-d8_512x512_20k_voc12aug.py - Name: deeplabv3_r50-d8_512x512_40k_voc12aug In Collection: DeepLabV3 Metadata: inference time (fps): 13.88 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 77.68 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r50-d8_512x512_40k_voc12aug/deeplabv3_r50-d8_512x512_40k_voc12aug_20200613_161546-2ae96e7e.pth Config: configs/deeplabv3/deeplabv3_r50-d8_512x512_40k_voc12aug.py - Name: deeplabv3_r101-d8_512x512_40k_voc12aug In Collection: DeepLabV3 Metadata: inference time (fps): 9.81 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 77.92 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_512x512_40k_voc12aug/deeplabv3_r101-d8_512x512_40k_voc12aug_20200613_161432-0017d784.pth Config: configs/deeplabv3/deeplabv3_r101-d8_512x512_40k_voc12aug.py - Name: deeplabv3_r101-d8_480x480_40k_pascal_context In Collection: DeepLabV3 Metadata: inference time (fps): 7.09 Results: - Task: Semantic Segmentation Dataset: Pascal Context Metrics: mIoU: 46.55 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context/deeplabv3_r101-d8_480x480_40k_pascal_context_20200911_204118-1aa27336.pth Config: configs/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context.py - Name: deeplabv3_r101-d8_480x480_80k_pascal_context In Collection: DeepLabV3 Metadata: inference time (fps): 7.09 Results: - Task: Semantic Segmentation Dataset: Pascal Context Metrics: mIoU: 46.42 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context/deeplabv3_r101-d8_480x480_80k_pascal_context_20200911_170155-2a21fff3.pth Config: configs/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context.py - Name: deeplabv3_r101-d8_480x480_40k_pascal_context In Collection: DeepLabV3 Metadata: inference time (fps): None Results: - Task: Semantic Segmentation Dataset: Pascal Context Metrics: mIoU: 52.61 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context_59/deeplabv3_r101-d8_480x480_40k_pascal_context_59_20210416_110332-cb08ea46.pth Config: configs/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context.py - Name: deeplabv3_r101-d8_480x480_80k_pascal_context_59 In Collection: DeepLabV3 Metadata: inference time (fps): None Results: - Task: Semantic Segmentation Dataset: Pascal Context Metrics: mIoU: 52.46 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context_59/deeplabv3_r101-d8_480x480_80k_pascal_context_59_20210416_113002-26303993.pth Config: configs/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context_59.py