Collections:
- Metadata:
    Training Data:
    - ADE20K
  Name: dpt
Models:
- Config: configs/dpt/dpt_vit-b16_512x512_160k_ade20k.py
  In Collection: dpt
  Metadata:
    backbone: ViT-B
    crop size: (512,512)
    inference time (ms/im):
    - backend: PyTorch
      batch size: 1
      hardware: V100
      mode: FP32
      resolution: (512,512)
      value: 96.06
    lr schd: 160000
    memory (GB): 8.09
  Name: dpt_vit-b16_512x512_160k_ade20k
  Results:
    Dataset: ADE20K
    Metrics:
      mIoU: 46.97
      mIoU(ms+flip): 48.34
    Task: Semantic Segmentation
  Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dpt/dpt_vit-b16_512x512_160k_ade20k/dpt_vit-b16_512x512_160k_ade20k-db31cf52.pth