Models: - Name: fcn_hr18s_512x1024_40k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 42.12 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 73.86 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x1024_40k_cityscapes/fcn_hr18s_512x1024_40k_cityscapes_20200601_014216-93db27d0.pth Config: configs/fcn/fcn_hr18s_512x1024_40k_cityscapes.py - Name: fcn_hr18_512x1024_40k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 77.1 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 77.19 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x1024_40k_cityscapes/fcn_hr18_512x1024_40k_cityscapes_20200601_014216-f196fb4e.pth Config: configs/fcn/fcn_hr18_512x1024_40k_cityscapes.py - Name: fcn_hr48_512x1024_40k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 155.76 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 78.48 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x1024_40k_cityscapes/fcn_hr48_512x1024_40k_cityscapes_20200601_014240-a989b146.pth Config: configs/fcn/fcn_hr48_512x1024_40k_cityscapes.py - Name: fcn_hr18s_512x1024_80k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 42.12 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 75.31 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x1024_80k_cityscapes/fcn_hr18s_512x1024_80k_cityscapes_20200601_202700-1462b75d.pth Config: configs/fcn/fcn_hr18s_512x1024_80k_cityscapes.py - Name: fcn_hr18_512x1024_80k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 77.1 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 78.65 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x1024_80k_cityscapes/fcn_hr18_512x1024_80k_cityscapes_20200601_223255-4e7b345e.pth Config: configs/fcn/fcn_hr18_512x1024_80k_cityscapes.py - Name: fcn_hr48_512x1024_80k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 155.76 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 79.93 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x1024_80k_cityscapes/fcn_hr48_512x1024_80k_cityscapes_20200601_202606-58ea95d6.pth Config: configs/fcn/fcn_hr48_512x1024_80k_cityscapes.py - Name: fcn_hr18s_512x1024_160k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 42.12 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 76.31 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x1024_160k_cityscapes/fcn_hr18s_512x1024_160k_cityscapes_20200602_190901-4a0797ea.pth Config: configs/fcn/fcn_hr18s_512x1024_160k_cityscapes.py - Name: fcn_hr18_512x1024_160k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 77.1 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 78.80 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x1024_160k_cityscapes/fcn_hr18_512x1024_160k_cityscapes_20200602_190822-221e4a4f.pth Config: configs/fcn/fcn_hr18_512x1024_160k_cityscapes.py - Name: fcn_hr48_512x1024_160k_cityscapes In Collection: FCN Metadata: inference time (ms/im): 155.76 Results: - Task: Semantic Segmentation Dataset: Cityscapes Metrics: mIoU: 80.65 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x1024_160k_cityscapes/fcn_hr48_512x1024_160k_cityscapes_20200602_190946-59b7973e.pth Config: configs/fcn/fcn_hr48_512x1024_160k_cityscapes.py - Name: fcn_hr18s_512x512_80k_ade20k In Collection: FCN Metadata: inference time (ms/im): 25.87 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 31.38 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x512_80k_ade20k/fcn_hr18s_512x512_80k_ade20k_20200614_144345-77fc814a.pth Config: configs/fcn/fcn_hr18s_512x512_80k_ade20k.py - Name: fcn_hr18_512x512_80k_ade20k In Collection: FCN Metadata: inference time (ms/im): 44.31 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 35.51 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x512_80k_ade20k/fcn_hr18_512x512_80k_ade20k_20200614_185145-66f20cb7.pth Config: configs/fcn/fcn_hr18_512x512_80k_ade20k.py - Name: fcn_hr48_512x512_80k_ade20k In Collection: FCN Metadata: inference time (ms/im): 47.1 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 41.90 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x512_80k_ade20k/fcn_hr48_512x512_80k_ade20k_20200614_193946-7ba5258d.pth Config: configs/fcn/fcn_hr48_512x512_80k_ade20k.py - Name: fcn_hr18s_512x512_160k_ade20k In Collection: FCN Metadata: inference time (ms/im): 25.87 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 33.00 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x512_160k_ade20k/fcn_hr18s_512x512_160k_ade20k_20200614_214413-870f65ac.pth Config: configs/fcn/fcn_hr18s_512x512_160k_ade20k.py - Name: fcn_hr18_512x512_160k_ade20k In Collection: FCN Metadata: inference time (ms/im): 44.31 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 36.79 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x512_160k_ade20k/fcn_hr18_512x512_160k_ade20k_20200614_214426-ca961836.pth Config: configs/fcn/fcn_hr18_512x512_160k_ade20k.py - Name: fcn_hr48_512x512_160k_ade20k In Collection: FCN Metadata: inference time (ms/im): 47.1 Results: - Task: Semantic Segmentation Dataset: ADE20K Metrics: mIoU: 42.02 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x512_160k_ade20k/fcn_hr48_512x512_160k_ade20k_20200614_214407-a52fc02c.pth Config: configs/fcn/fcn_hr48_512x512_160k_ade20k.py - Name: fcn_hr18s_512x512_20k_voc12aug In Collection: FCN Metadata: inference time (ms/im): 23.06 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 65.20 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x512_20k_voc12aug/fcn_hr18s_512x512_20k_voc12aug_20200617_224503-56e36088.pth Config: configs/fcn/fcn_hr18s_512x512_20k_voc12aug.py - Name: fcn_hr18_512x512_20k_voc12aug In Collection: FCN Metadata: inference time (ms/im): 42.59 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 72.30 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x512_20k_voc12aug/fcn_hr18_512x512_20k_voc12aug_20200617_224503-488d45f7.pth Config: configs/fcn/fcn_hr18_512x512_20k_voc12aug.py - Name: fcn_hr48_512x512_20k_voc12aug In Collection: FCN Metadata: inference time (ms/im): 45.35 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 75.87 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x512_20k_voc12aug/fcn_hr48_512x512_20k_voc12aug_20200617_224419-89de05cd.pth Config: configs/fcn/fcn_hr48_512x512_20k_voc12aug.py - Name: fcn_hr18s_512x512_40k_voc12aug In Collection: FCN Metadata: inference time (ms/im): 23.06 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 66.61 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18s_512x512_40k_voc12aug/fcn_hr18s_512x512_40k_voc12aug_20200614_000648-4f8d6e7f.pth Config: configs/fcn/fcn_hr18s_512x512_40k_voc12aug.py - Name: fcn_hr18_512x512_40k_voc12aug In Collection: FCN Metadata: inference time (ms/im): 42.59 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 72.90 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr18_512x512_40k_voc12aug/fcn_hr18_512x512_40k_voc12aug_20200613_224401-1b4b76cd.pth Config: configs/fcn/fcn_hr18_512x512_40k_voc12aug.py - Name: fcn_hr48_512x512_40k_voc12aug In Collection: FCN Metadata: inference time (ms/im): 45.35 Results: - Task: Semantic Segmentation Dataset: Pascal VOC 2012 + Aug Metrics: mIoU: 76.24 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_512x512_40k_voc12aug/fcn_hr48_512x512_40k_voc12aug_20200613_222111-1b0f18bc.pth Config: configs/fcn/fcn_hr48_512x512_40k_voc12aug.py - Name: fcn_hr48_480x480_40k_pascal_context In Collection: FCN Metadata: inference time (ms/im): 112.87 Results: - Task: Semantic Segmentation Dataset: Pascal Context Metrics: mIoU: 45.14 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_480x480_40k_pascal_context/fcn_hr48_480x480_40k_pascal_context_20200911_164852-667d00b0.pth Config: configs/fcn/fcn_hr48_480x480_40k_pascal_context.py - Name: fcn_hr48_480x480_80k_pascal_context In Collection: FCN Metadata: inference time (ms/im): 112.87 Results: - Task: Semantic Segmentation Dataset: Pascal Context Metrics: mIoU: 45.84 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_480x480_80k_pascal_context/fcn_hr48_480x480_80k_pascal_context_20200911_155322-847a6711.pth Config: configs/fcn/fcn_hr48_480x480_80k_pascal_context.py - Name: fcn_hr48_480x480_40k_pascal_context_59 In Collection: FCN Metadata: inference time (ms/im): None Results: - Task: Semantic Segmentation Dataset: Pascal Context Metrics: mIoU: 50.33 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_480x480_40k_pascal_context_59/fcn_hr48_480x480_40k_pascal_context_59_20210410_122738-b808b8b2.pth Config: configs/fcn/fcn_hr48_480x480_40k_pascal_context_59.py - Name: fcn_hr48_480x480_80k_pascal_context In Collection: FCN Metadata: inference time (ms/im): None Results: - Task: Semantic Segmentation Dataset: Pascal Context Metrics: mIoU: 51.12 Weights: https://download.openmmlab.com/mmsegmentation/v0.5/hrnet/fcn_hr48_480x480_80k_pascal_context_59/fcn_hr48_480x480_80k_pascal_context_59_20210411_003240-3ae7081e.pth Config: configs/fcn/fcn_hr48_480x480_80k_pascal_context.py