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24 lines
729 B
YAML
24 lines
729 B
YAML
Models:
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- Name: mae-base_upernet_8xb2-amp-160k_ade20k-512x512
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In Collection: UPerNet
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Metadata:
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backbone: ViT-B
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crop size: (512,512)
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lr schd: 160000
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inference time (ms/im):
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- value: 140.06
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: AMP
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resolution: (512,512)
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Training Memory (GB): 9.96
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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: 48.13
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mIoU(ms+flip): 48.7
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Config: configs/mae/mae-base_upernet_8xb2-amp-160k_ade20k-512x512.py
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Weights: https://download.openmmlab.com/mmsegmentation/v0.5/mae/upernet_mae-base_fp16_8x2_512x512_160k_ade20k/upernet_mae-base_fp16_8x2_512x512_160k_ade20k_20220426_174752-f92a2975.pth
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