Yolov5s/ai_training/mmdetection/configs/gfl/metafile.yml

Collections:
  - Name: Generalized Focal Loss
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x V100 GPUs
      Architecture:
        - Generalized Focal Loss
        - FPN
        - ResNet
    Paper:
      URL: https://arxiv.org/abs/2006.04388
      Title: 'Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection'
    README: configs/gfl/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/v2.2.0/mmdet/models/detectors/gfl.py#L6
      Version: v2.2.0

Models:
  - Name: gfl_r50_fpn_1x_coco
    In Collection: Generalized Focal Loss
    Config: configs/gfl/gfl_r50_fpn_1x_coco.py
    Metadata:
      inference time (ms/im):
        - value: 51.28
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.2
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gfl/gfl_r50_fpn_1x_coco/gfl_r50_fpn_1x_coco_20200629_121244-25944287.pth

  - Name: gfl_r50_fpn_mstrain_2x_coco
    In Collection: Generalized Focal Loss
    Config: configs/gfl/gfl_r50_fpn_mstrain_2x_coco.py
    Metadata:
      inference time (ms/im):
        - value: 51.28
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gfl/gfl_r50_fpn_mstrain_2x_coco/gfl_r50_fpn_mstrain_2x_coco_20200629_213802-37bb1edc.pth

  - Name: gfl_r101_fpn_mstrain_2x_coco
    In Collection: Generalized Focal Loss
    Config: configs/gfl/gfl_r101_fpn_mstrain_2x_coco.py
    Metadata:
      inference time (ms/im):
        - value: 68.03
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 44.7
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gfl/gfl_r101_fpn_mstrain_2x_coco/gfl_r101_fpn_mstrain_2x_coco_20200629_200126-dd12f847.pth

  - Name: gfl_r101_fpn_dconv_c3-c5_mstrain_2x_coco
    In Collection: Generalized Focal Loss
    Config: configs/gfl/gfl_r101_fpn_dconv_c3-c5_mstrain_2x_coco.py
    Metadata:
      inference time (ms/im):
        - value: 77.52
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 47.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gfl/gfl_r101_fpn_dconv_c3-c5_mstrain_2x_coco/gfl_r101_fpn_dconv_c3-c5_mstrain_2x_coco_20200630_102002-134b07df.pth

  - Name: gfl_x101_32x4d_fpn_mstrain_2x_coco
    In Collection: Generalized Focal Loss
    Config: configs/gfl/gfl_x101_32x4d_fpn_mstrain_2x_coco.py
    Metadata:
      inference time (ms/im):
        - value: 82.64
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 45.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gfl/gfl_x101_32x4d_fpn_mstrain_2x_coco/gfl_x101_32x4d_fpn_mstrain_2x_coco_20200630_102002-50c1ffdb.pth

  - Name: gfl_x101_32x4d_fpn_dconv_c4-c5_mstrain_2x_coco
    In Collection: Generalized Focal Loss
    Config: configs/gfl/gfl_x101_32x4d_fpn_dconv_c4-c5_mstrain_2x_coco.py
    Metadata:
      inference time (ms/im):
        - value: 93.46
          hardware: V100
          backend: PyTorch
          batch size: 1
          mode: FP32
          resolution: (800, 1333)
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 48.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gfl/gfl_x101_32x4d_fpn_dconv_c4-c5_mstrain_2x_coco/gfl_x101_32x4d_fpn_dconv_c4-c5_mstrain_2x_coco_20200630_102002-14a2bf25.pth