metafile.yml

Collections:
  - Name: MobileOne
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - re-parameterization Convolution
        - VGG-style Neural Network
        - Depthwise Convolution
        - Pointwise Convolution
    Paper:
      URL: https://arxiv.org/abs/2206.04040
      Title: 'An Improved One millisecond Mobile Backbone'
    README: configs/mobileone/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v1.0.0rc1/configs/mobileone/metafile.yml
      Version: v1.0.0rc1

Models:
  - Name: mobileone-s0_8xb32_in1k
    In Collection: MobileOne
    Config: configs/mobileone/mobileone-s0_8xb32_in1k.py
    Metadata:
      FLOPs: 274136576  # 0.27G
      Parameters: 2078504  # 2.08M
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 71.34
        Top 5 Accuracy: 89.87
    Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s0_8xb32_in1k_20221110-0bc94952.pth
  - Name: mobileone-s1_8xb32_in1k
    In Collection: MobileOne
    Config: configs/mobileone/mobileone-s1_8xb32_in1k.py
    Metadata:
      FLOPs: 823839744    # 8.6G
      Parameters: 4764840  # 4.82M
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 75.72
        Top 5 Accuracy: 92.54
    Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s1_8xb32_in1k_20221110-ceeef467.pth
  - Name: mobileone-s2_8xb32_in1k
    In Collection: MobileOne
    Config: configs/mobileone/mobileone-s2_8xb32_in1k.py
    Metadata:
      FLOPs: 1296478848
      Parameters: 7808168
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 77.37
        Top 5 Accuracy: 93.34
    Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s2_8xb32_in1k_20221110-9c7ecb97.pth
  - Name: mobileone-s3_8xb32_in1k
    In Collection: MobileOne
    Config: configs/mobileone/mobileone-s3_8xb32_in1k.py
    Metadata:
      FLOPs: 1893842944
      Parameters: 10078312
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 78.06
        Top 5 Accuracy: 93.83
    Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s3_8xb32_in1k_20221110-c95eb3bf.pth
  - Name: mobileone-s4_8xb32_in1k
    In Collection: MobileOne
    Config: configs/mobileone/mobileone-s4_8xb32_in1k.py
    Metadata:
      FLOPs: 2979222528
      Parameters: 14838352
    Results:
    - Dataset: ImageNet-1k
      Task: Image Classification
      Metrics:
        Top 1 Accuracy: 79.69
        Top 5 Accuracy: 94.46
    Weights: https://download.openmmlab.com/mmclassification/v0/mobileone/mobileone-s4_8xb32_in1k_20221110-28d888cb.pth