Collections:
  - Name: MobileNet V2
    Metadata:
      Training Data: ImageNet
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Epochs: 300
      Batch Size: 256
      Architecture:
        - MobileNet V2
    Paper: https://arxiv.org/abs/1801.04381
    README: configs/mobilenet_v2/README.md

Models:
- Config: configs/mobilenet_v2/mobilenet_v2_b32x8_imagenet.py
  In Collection: MobileNet V2
  Metadata:
    FLOPs: 319000000
    Parameters: 3500000
  Name: mobilenet_v2_b32x8_imagenet
  Results:
  - Dataset: ImageNet
    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