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/mmclassification/blob/v0.15.0/mmcls/models/backbones/mobilenet_v3.py
      Version: v0.15.0

Models:
  - Name: mobilenet_v3_small_imagenet
    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_8xb32_in1k.py
  - Name: mobilenet_v3_large_imagenet
    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_8xb32_in1k.py
