429 lines
15 KiB
YAML
429 lines
15 KiB
YAML
Collections:
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- Name: DeepLabV3
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Metadata:
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Training Data:
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- Cityscapes
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- Pascal Context
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- Pascal VOC 2012 + Aug
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- ADE20K
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Models:
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- Name: deeplabv3_r50-d8_512x1024_40k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 2.57
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.09
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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
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Config: configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py
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- Name: deeplabv3_r101-d8_512x1024_40k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 1.92
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 77.12
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_512x1024_40k_cityscapes.py
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- Name: deeplabv3_r50-d8_769x769_40k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 1.11
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.58
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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
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Config: configs/deeplabv3/deeplabv3_r50-d8_769x769_40k_cityscapes.py
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- Name: deeplabv3_r101-d8_769x769_40k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 0.83
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.27
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_769x769_40k_cityscapes.py
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- Name: deeplabv3_r18-d8_512x1024_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 13.78
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 76.70
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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
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Config: configs/deeplabv3/deeplabv3_r18-d8_512x1024_80k_cityscapes.py
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- Name: deeplabv3_r50-d8_512x1024_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 2.57
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.32
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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
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Config: configs/deeplabv3/deeplabv3_r50-d8_512x1024_80k_cityscapes.py
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- Name: deeplabv3_r101-d8_512x1024_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 1.92
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 80.20
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_512x1024_80k_cityscapes.py
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- Name: deeplabv3_r18-d8_769x769_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 5.55
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 76.60
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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
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Config: configs/deeplabv3/deeplabv3_r18-d8_769x769_80k_cityscapes.py
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- Name: deeplabv3_r50-d8_769x769_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 1.11
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.89
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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
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Config: configs/deeplabv3/deeplabv3_r50-d8_769x769_80k_cityscapes.py
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- Name: deeplabv3_r101-d8_769x769_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 0.83
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.67
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_769x769_80k_cityscapes.py
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- Name: deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 6.96
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 76.71
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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
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Config: configs/deeplabv3/deeplabv3_r101-d16-mg124_512x1024_40k_cityscapes.py
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- Name: deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 6.96
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.36
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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
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Config: configs/deeplabv3/deeplabv3_r101-d16-mg124_512x1024_80k_cityscapes.py
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- Name: deeplabv3_r18b-d8_512x1024_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 13.93
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 76.26
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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
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Config: configs/deeplabv3/deeplabv3_r18b-d8_512x1024_80k_cityscapes.py
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- Name: deeplabv3_r50b-d8_512x1024_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 2.74
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.63
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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
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Config: configs/deeplabv3/deeplabv3_r50b-d8_512x1024_80k_cityscapes.py
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- Name: deeplabv3_r101b-d8_512x1024_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 1.81
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 80.01
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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
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Config: configs/deeplabv3/deeplabv3_r101b-d8_512x1024_80k_cityscapes.py
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- Name: deeplabv3_r18b-d8_769x769_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 5.79
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 76.63
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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
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Config: configs/deeplabv3/deeplabv3_r18b-d8_769x769_80k_cityscapes.py
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- Name: deeplabv3_r50b-d8_769x769_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 1.16
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 78.80
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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
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Config: configs/deeplabv3/deeplabv3_r50b-d8_769x769_80k_cityscapes.py
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- Name: deeplabv3_r101b-d8_769x769_80k_cityscapes
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 0.82
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Results:
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- Task: Semantic Segmentation
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Dataset: Cityscapes
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Metrics:
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mIoU: 79.41
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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
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Config: configs/deeplabv3/deeplabv3_r101b-d8_769x769_80k_cityscapes.py
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- Name: deeplabv3_r50-d8_512x512_80k_ade20k
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 14.76
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 42.42
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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
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Config: configs/deeplabv3/deeplabv3_r50-d8_512x512_80k_ade20k.py
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- Name: deeplabv3_r101-d8_512x512_80k_ade20k
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 10.14
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 44.08
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_512x512_80k_ade20k.py
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- Name: deeplabv3_r50-d8_512x512_160k_ade20k
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 14.76
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 42.66
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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
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Config: configs/deeplabv3/deeplabv3_r50-d8_512x512_160k_ade20k.py
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- Name: deeplabv3_r101-d8_512x512_160k_ade20k
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 10.14
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Results:
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- Task: Semantic Segmentation
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Dataset: ADE20K
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Metrics:
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mIoU: 45.00
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_512x512_160k_ade20k.py
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- Name: deeplabv3_r50-d8_512x512_20k_voc12aug
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 13.88
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 76.17
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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
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Config: configs/deeplabv3/deeplabv3_r50-d8_512x512_20k_voc12aug.py
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- Name: deeplabv3_r101-d8_512x512_20k_voc12aug
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 9.81
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 78.70
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_512x512_20k_voc12aug.py
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- Name: deeplabv3_r50-d8_512x512_40k_voc12aug
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 13.88
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 77.68
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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
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Config: configs/deeplabv3/deeplabv3_r50-d8_512x512_40k_voc12aug.py
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- Name: deeplabv3_r101-d8_512x512_40k_voc12aug
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 9.81
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal VOC 2012 + Aug
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Metrics:
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mIoU: 77.92
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_512x512_40k_voc12aug.py
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- Name: deeplabv3_r101-d8_480x480_40k_pascal_context
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 7.09
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Results:
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- Task: Semantic Segmentation
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Dataset: Pascal Context
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Metrics:
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mIoU: 46.55
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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
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Config: configs/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context.py
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- Name: deeplabv3_r101-d8_480x480_80k_pascal_context
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In Collection: DeepLabV3
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Metadata:
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inference time (fps): 7.09
|
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Results:
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- Task: Semantic Segmentation
|
|
Dataset: Pascal Context
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Metrics:
|
|
mIoU: 46.42
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|
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
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Config: configs/deeplabv3/deeplabv3_r101-d8_480x480_80k_pascal_context.py
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- Name: deeplabv3_r101-d8_480x480_40k_pascal_context
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In Collection: DeepLabV3
|
|
Metadata:
|
|
inference time (fps): None
|
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Results:
|
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- Task: Semantic Segmentation
|
|
Dataset: Pascal Context
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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
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|
Config: configs/deeplabv3/deeplabv3_r101-d8_480x480_40k_pascal_context.py
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- Name: deeplabv3_r101-d8_480x480_80k_pascal_context_59
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|
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
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