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Collections:
  - Name: MobileNet V3
    Metadata:
      Training Data: ImageNet-1k
      Training Techniques:
        - RMSprop with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Epochs: 600
      Batch Size: 1024
      Architecture:
        - MobileNet V3
    Paper:
      URL: https://arxiv.org/abs/1905.02244
      Title: Searching for MobileNetV3
    README: configs/mobilenet_v3/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/mobilenet_v3.py
      Version: v0.15.0

Models:
  - Name: mobilenet-v3-small-050_3rdparty_in1k
    Metadata:
      FLOPs: 24895000
      Parameters: 1590000
    In Collection: MobileNet V3
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 57.91
          Top 5 Accuracy: 80.19
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v3/mobilenet-v3-small-050_3rdparty_in1k_20221114-e0b86be1.pth
    Config: configs/mobilenet_v3/mobilenet-v3-small-050_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/mobilenetv3_small_050_lambc-4b7bbe87.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/mobilenetv3.py
  - Name: mobilenet-v3-small-075_3rdparty_in1k
    Metadata:
      FLOPs: 44791000
      Parameters: 2040000
    In Collection: MobileNet V3
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 65.23
          Top 5 Accuracy: 85.44
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v3/mobilenet-v3-small-075_3rdparty_in1k_20221114-2011fa76.pth
    Config: configs/mobilenet_v3/mobilenet-v3-small-075_8xb128_in1k.py
    Converted From:
      Weights: https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/mobilenetv3_small_075_lambc-384766db.pth
      Code: https://github.com/rwightman/pytorch-image-models/blob/main/timm/models/mobilenetv3.py
  - Name: mobilenet-v3-small_8xb128_in1k
    Metadata:
      FLOPs: 60000000
      Parameters: 2540000
    In Collection: MobileNet V3
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 66.68
          Top 5 Accuracy: 86.74
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v3/mobilenet-v3-small_8xb128_in1k_20221114-bd1bfcde.pth
    Config: configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py
  - Name: mobilenet-v3-small_3rdparty_in1k
    Metadata:
      FLOPs: 60000000
      Parameters: 2540000
    In Collection: MobileNet V3
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 67.66
          Top 5 Accuracy: 87.41
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v3/convert/mobilenet_v3_small-8427ecf0.pth
    Config: configs/mobilenet_v3/mobilenet-v3-small_8xb128_in1k.py
    Converted From:
      Weights: https://download.pytorch.org/models/mobilenet_v3_small-047dcff4.pth
      Code: https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv3.py
  - Name: mobilenet-v3-large_8xb128_in1k
    Metadata:
      FLOPs: 230000000
      Parameters: 5480000
    In Collection: MobileNet V3
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 73.49
          Top 5 Accuracy: 91.31
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v3/mobilenet-v3-large_8xb128_in1k_20221114-0ed9ed9a.pth
    Config: configs/mobilenet_v3/mobilenet-v3-large_8xb128_in1k.py
  - Name: mobilenet-v3-large_3rdparty_in1k
    Metadata:
      FLOPs: 230000000
      Parameters: 5480000
    In Collection: MobileNet V3
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 74.04
          Top 5 Accuracy: 91.34
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v3/convert/mobilenet_v3_large-3ea3c186.pth
    Config: configs/mobilenet_v3/mobilenet-v3-large_8xb128_in1k.py
    Converted From:
      Weights: https://download.pytorch.org/models/mobilenet_v3_large-8738ca79.pth
      Code: https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv3.py