Collections:
  - Name: DenseNet
    Metadata:
      Training Data: ImageNet-1k
      Architecture:
        - DenseBlock
    Paper:
      URL: https://arxiv.org/abs/1608.06993
      Title: Densely Connected Convolutional Networks
    README: configs/densenet/README.md

Models:
  - Name: densenet121_4xb256_in1k
    Metadata:
      FLOPs: 2881695488
      Parameters: 7978856
    In Collections: DenseNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 74.96
          Top 5 Accuracy: 92.21
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/densenet/densenet121_4xb256_in1k_20220426-07450f99.pth
    Config: configs/densenet/densenet121_4xb256_in1k.py
    Converted From:
      Weights: https://download.pytorch.org/models/densenet121-a639ec97.pth
      Code: https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py
  - Name: densenet169_4xb256_in1k
    Metadata:
      FLOPs: 3416860160
      Parameters: 14149480
    In Collections: DenseNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 76.08
          Top 5 Accuracy: 93.11
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/densenet/densenet169_4xb256_in1k_20220426-a2889902.pth
    Config: configs/densenet/densenet169_4xb256_in1k.py
    Converted From:
      Weights: https://download.pytorch.org/models/densenet169-b2777c0a.pth
      Code: https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py
  - Name: densenet201_4xb256_in1k
    Metadata:
      FLOPs: 4365236736
      Parameters: 20013928
    In Collections: DenseNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 77.32
          Top 5 Accuracy: 93.64
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/densenet/densenet201_4xb256_in1k_20220426-05cae4ef.pth
    Config: configs/densenet/densenet201_4xb256_in1k.py
    Converted From:
      Weights: https://download.pytorch.org/models/densenet201-c1103571.pth
      Code: https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py
  - Name: densenet161_4xb256_in1k
    Metadata:
      FLOPs: 7816363968
      Parameters: 28681000
    In Collections: DenseNet
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 77.61
          Top 5 Accuracy: 93.83
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/densenet/densenet161_4xb256_in1k_20220426-ee6a80a9.pth
    Config: configs/densenet/densenet161_4xb256_in1k.py
    Converted From:
      Weights: https://download.pytorch.org/models/densenet161-8d451a50.pth
      Code: https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py