Collections:
  - Name: MobileNet V2
    Metadata:
      Training Data: ImageNet-1k
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Epochs: 300
      Batch Size: 256
      Architecture:
        - MobileNet V2
    Paper:
      URL: https://arxiv.org/abs/1801.04381
      Title: "MobileNetV2: Inverted Residuals and Linear Bottlenecks"
    README: configs/mobilenet_v2/README.md
    Code:
      URL: https://github.com/open-mmlab/mmpretrain/blob/v0.15.0/mmcls/models/backbones/mobilenet_v2.py#L101
      Version: v0.15.0

Models:
  - Name: mobilenet-v2_8xb32_in1k
    Metadata:
      FLOPs: 319000000
      Parameters: 3500000
    In Collection: MobileNet V2
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 71.86
          Top 5 Accuracy: 90.42
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/mobilenet_v2/mobilenet_v2_batch256_imagenet_20200708-3b2dc3af.pth
    Config: configs/mobilenet_v2/mobilenet-v2_8xb32_in1k.py
