configs/textdet/panet/metafile.yml

Collections:
- Name: PANet
  Metadata:
    Training Data: ICDAR2015 SCUT-CTW1500
    Training Techniques:
      - Adam
    Training Resources: 1x NVIDIA A100-SXM4-80GB
    Architecture:
      - ResNet
      - FPEM_FFM
  Paper:
    URL: https://arxiv.org/pdf/1803.01534.pdf
    Title: 'Path Aggregation Network for Instance Segmentation'
  README: configs/textdet/panet/README.md

Models:
  - Name: panet_resnet18_fpem-ffm_600e_ctw1500
    Alias: PANet_CTW
    In Collection: PANet
    Config: configs/textdet/panet/panet_resnet18_fpem-ffm_600e_ctw1500.py
    Metadata:
      Training Data: CTW1500
    Results:
      - Task: Text Detection
        Dataset: CTW1500
        Metrics:
          hmean-iou: 0.7770
    Weights: https://download.openmmlab.com/mmocr/textdet/panet/panet_resnet18_fpem-ffm_600e_ctw1500/panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818-980f32d0.pth

  - Name: panet_resnet18_fpem-ffm_600e_icdar2015
    Alias: PANet_IC15
    In Collection: PANet
    Config: configs/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015.py
    Metadata:
      Training Data: ICDAR2015
    Results:
      - Task: Text Detection
        Dataset: ICDAR2015
        Metrics:
          hmean-iou: 0.7848
    Weights: https://download.openmmlab.com/mmocr/textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015/panet_resnet18_fpem-ffm_600e_icdar2015_20220826_144817-be2acdb4.pth