mmsegmentation/configs/pspnet/metafile.yml

401 lines
13 KiB
YAML

Collections:
- Name: PSPNet
Metadata:
Training Data:
- Cityscapes
- Pascal Context
- Pascal VOC 2012 + Aug
- ADE20K
Models:
- Name: pspnet_r50-d8_512x1024_40k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 4.07
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 77.85
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes/pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth
Config: configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py
- Name: pspnet_r101-d8_512x1024_40k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 2.68
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.34
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes/pspnet_r101-d8_512x1024_40k_cityscapes_20200604_232751-467e7cf4.pth
Config: configs/pspnet/pspnet_r101-d8_512x1024_40k_cityscapes.py
- Name: pspnet_r50-d8_769x769_40k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 1.76
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.26
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_40k_cityscapes/pspnet_r50-d8_769x769_40k_cityscapes_20200606_112725-86638686.pth
Config: configs/pspnet/pspnet_r50-d8_769x769_40k_cityscapes.py
- Name: pspnet_r101-d8_769x769_40k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 1.15
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.08
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_40k_cityscapes/pspnet_r101-d8_769x769_40k_cityscapes_20200606_112753-61c6f5be.pth
Config: configs/pspnet/pspnet_r101-d8_769x769_40k_cityscapes.py
- Name: pspnet_r18-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 15.71
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 74.87
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_512x1024_80k_cityscapes/pspnet_r18-d8_512x1024_80k_cityscapes_20201225_021458-09ffa746.pth
Config: configs/pspnet/pspnet_r18-d8_512x1024_80k_cityscapes.py
- Name: pspnet_r50-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 4.07
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.55
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes/pspnet_r50-d8_512x1024_80k_cityscapes_20200606_112131-2376f12b.pth
Config: configs/pspnet/pspnet_r50-d8_512x1024_80k_cityscapes.py
- Name: pspnet_r101-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 2.68
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.76
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes/pspnet_r101-d8_512x1024_80k_cityscapes_20200606_112211-e1e1100f.pth
Config: configs/pspnet/pspnet_r101-d8_512x1024_80k_cityscapes.py
- Name: pspnet_r18-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 6.20
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 75.90
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18-d8_769x769_80k_cityscapes/pspnet_r18-d8_769x769_80k_cityscapes_20201225_021458-3deefc62.pth
Config: configs/pspnet/pspnet_r18-d8_769x769_80k_cityscapes.py
- Name: pspnet_r50-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 1.76
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.59
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_769x769_80k_cityscapes/pspnet_r50-d8_769x769_80k_cityscapes_20200606_210121-5ccf03dd.pth
Config: configs/pspnet/pspnet_r50-d8_769x769_80k_cityscapes.py
- Name: pspnet_r101-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 1.15
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.77
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_769x769_80k_cityscapes/pspnet_r101-d8_769x769_80k_cityscapes_20200606_225055-dba412fa.pth
Config: configs/pspnet/pspnet_r101-d8_769x769_80k_cityscapes.py
- Name: pspnet_r18b-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 16.28
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 74.23
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_512x1024_80k_cityscapes/pspnet_r18b-d8_512x1024_80k_cityscapes_20201226_063116-26928a60.pth
Config: configs/pspnet/pspnet_r18b-d8_512x1024_80k_cityscapes.py
- Name: pspnet_r50b-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 4.30
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.22
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes/pspnet_r50b-d8_512x1024_80k_cityscapes_20201225_094315-6344287a.pth
Config: configs/pspnet/pspnet_r50b-d8_512x1024_80k_cityscapes.py
- Name: pspnet_r101b-d8_512x1024_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 2.76
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 79.69
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes/pspnet_r101b-d8_512x1024_80k_cityscapes_20201226_170012-3a4d38ab.pth
Config: configs/pspnet/pspnet_r101b-d8_512x1024_80k_cityscapes.py
- Name: pspnet_r18b-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 6.41
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 74.92
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r18b-d8_769x769_80k_cityscapes/pspnet_r18b-d8_769x769_80k_cityscapes_20201226_080942-bf98d186.pth
Config: configs/pspnet/pspnet_r18b-d8_769x769_80k_cityscapes.py
- Name: pspnet_r50b-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 1.88
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.50
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes/pspnet_r50b-d8_769x769_80k_cityscapes_20201225_094316-4c643cf6.pth
Config: configs/pspnet/pspnet_r50b-d8_769x769_80k_cityscapes.py
- Name: pspnet_r101b-d8_769x769_80k_cityscapes
In Collection: PSPNet
Metadata:
inference time (fps): 1.17
Results:
- Task: Semantic Segmentation
Dataset: Cityscapes
Metrics:
mIoU: 78.87
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes/pspnet_r101b-d8_769x769_80k_cityscapes_20201226_171823-f0e7c293.pth
Config: configs/pspnet/pspnet_r101b-d8_769x769_80k_cityscapes.py
- Name: pspnet_r50-d8_512x512_80k_ade20k
In Collection: PSPNet
Metadata:
inference time (fps): 23.53
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 41.13
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_80k_ade20k/pspnet_r50-d8_512x512_80k_ade20k_20200615_014128-15a8b914.pth
Config: configs/pspnet/pspnet_r50-d8_512x512_80k_ade20k.py
- Name: pspnet_r101-d8_512x512_80k_ade20k
In Collection: PSPNet
Metadata:
inference time (fps): 15.30
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 43.57
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_80k_ade20k/pspnet_r101-d8_512x512_80k_ade20k_20200614_031423-b6e782f0.pth
Config: configs/pspnet/pspnet_r101-d8_512x512_80k_ade20k.py
- Name: pspnet_r50-d8_512x512_160k_ade20k
In Collection: PSPNet
Metadata:
inference time (fps): 23.53
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 42.48
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_160k_ade20k/pspnet_r50-d8_512x512_160k_ade20k_20200615_184358-1890b0bd.pth
Config: configs/pspnet/pspnet_r50-d8_512x512_160k_ade20k.py
- Name: pspnet_r101-d8_512x512_160k_ade20k
In Collection: PSPNet
Metadata:
inference time (fps): 15.30
Results:
- Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 44.39
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_160k_ade20k/pspnet_r101-d8_512x512_160k_ade20k_20200615_100650-967c316f.pth
Config: configs/pspnet/pspnet_r101-d8_512x512_160k_ade20k.py
- Name: pspnet_r50-d8_512x512_20k_voc12aug
In Collection: PSPNet
Metadata:
inference time (fps): 23.59
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 76.78
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_20k_voc12aug/pspnet_r50-d8_512x512_20k_voc12aug_20200617_101958-ed5dfbd9.pth
Config: configs/pspnet/pspnet_r50-d8_512x512_20k_voc12aug.py
- Name: pspnet_r101-d8_512x512_20k_voc12aug
In Collection: PSPNet
Metadata:
inference time (fps): 15.02
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 78.47
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_20k_voc12aug/pspnet_r101-d8_512x512_20k_voc12aug_20200617_102003-4aef3c9a.pth
Config: configs/pspnet/pspnet_r101-d8_512x512_20k_voc12aug.py
- Name: pspnet_r50-d8_512x512_40k_voc12aug
In Collection: PSPNet
Metadata:
inference time (fps): 23.59
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 77.29
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r50-d8_512x512_40k_voc12aug/pspnet_r50-d8_512x512_40k_voc12aug_20200613_161222-ae9c1b8c.pth
Config: configs/pspnet/pspnet_r50-d8_512x512_40k_voc12aug.py
- Name: pspnet_r101-d8_512x512_40k_voc12aug
In Collection: PSPNet
Metadata:
inference time (fps): 15.02
Results:
- Task: Semantic Segmentation
Dataset: Pascal VOC 2012 + Aug
Metrics:
mIoU: 78.52
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_512x512_40k_voc12aug/pspnet_r101-d8_512x512_40k_voc12aug_20200613_161222-bc933b18.pth
Config: configs/pspnet/pspnet_r101-d8_512x512_40k_voc12aug.py
- Name: pspnet_r101-d8_480x480_40k_pascal_context
In Collection: PSPNet
Metadata:
inference time (fps): 9.68
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
Metrics:
mIoU: 46.60
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context/pspnet_r101-d8_480x480_40k_pascal_context_20200911_211210-bf0f5d7c.pth
Config: configs/pspnet/pspnet_r101-d8_480x480_40k_pascal_context.py
- Name: pspnet_r101-d8_480x480_80k_pascal_context
In Collection: PSPNet
Metadata:
inference time (fps): 9.68
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
Metrics:
mIoU: 46.03
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context/pspnet_r101-d8_480x480_80k_pascal_context_20200911_190530-c86d6233.pth
Config: configs/pspnet/pspnet_r101-d8_480x480_80k_pascal_context.py
- Name: pspnet_r101-d8_480x480_40k_pascal_context
In Collection: PSPNet
Metadata:
inference time (fps): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
Metrics:
mIoU: 52.02
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_40k_pascal_context_59/pspnet_r101-d8_480x480_40k_pascal_context_59_20210416_114524-86d44cd4.pth
Config: configs/pspnet/pspnet_r101-d8_480x480_40k_pascal_context.py
- Name: pspnet_r101-d8_480x480_80k_pascal_context_59
In Collection: PSPNet
Metadata:
inference time (fps): None
Results:
- Task: Semantic Segmentation
Dataset: Pascal Context
Metrics:
mIoU: 52.47
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59/pspnet_r101-d8_480x480_80k_pascal_context_59_20210416_114418-fa6caaa2.pth
Config: configs/pspnet/pspnet_r101-d8_480x480_80k_pascal_context_59.py