Collections:
  - Name: ResNeXt
    Metadata:
      Training Data: ImageNet-1k
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Epochs: 100
      Batch Size: 256
      Architecture:
        - ResNeXt
    Paper: https://openaccess.thecvf.com/content_cvpr_2017/html/Xie_Aggregated_Residual_Transformations_CVPR_2017_paper.html
    README: configs/resnext/README.md

Models:
  - Name: resnext50_32x4d_b32x8_imagenet
    Metadata:
      FLOPs: 4270000000
      Parameters: 25030000
    In Collection: ResNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 77.92
          Top 5 Accuracy: 93.74
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/resnext/resnext50_32x4d_batch256_imagenet_20200708-c07adbb7.pth
    Config: configs/resnext/resnext50_32x4d_b32x8_imagenet.py
  - Name: resnext101_32x4d_b32x8_imagenet
    Metadata:
      FLOPs: 8030000000
      Parameters: 44180000
    In Collection: ResNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 78.7
          Top 5 Accuracy: 94.34
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x4d_batch256_imagenet_20200708-87f2d1c9.pth
    Config: configs/resnext/resnext101_32x4d_b32x8_imagenet.py
  - Name: resnext101_32x8d_b32x8_imagenet
    Metadata:
      FLOPs: 16500000000
      Parameters: 88790000
    In Collection: ResNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 79.22
          Top 5 Accuracy: 94.52
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/resnext/resnext101_32x8d_batch256_imagenet_20200708-1ec34aa7.pth
    Config: configs/resnext/resnext101_32x8d_b32x8_imagenet.py
  - Name: resnext152_32x4d_b32x8_imagenet
    Metadata:
      FLOPs: 11800000000
      Parameters: 59950000
    In Collection: ResNeXt
    Results:
      - Dataset: ImageNet-1k
        Metrics:
          Top 1 Accuracy: 79.06
          Top 5 Accuracy: 94.47
        Task: Image Classification
    Weights: https://download.openmmlab.com/mmclassification/v0/resnext/resnext152_32x4d_batch256_imagenet_20200708-aab5034c.pth
    Config: configs/resnext/resnext152_32x4d_b32x8_imagenet.py