Collections:
- Name: rotated_retinanet
  Metadata:
    Training Data: DOTAv1.0
    Training Techniques:
      - SGD with Momentum
      - Weight Decay
    Training Resources: 1x GeForce GTX 1080 Ti
    Architecture:
      - ResNet
  Paper:
    URL: https://arxiv.org/pdf/1708.02002.pdf
    Title: 'Focal loss for dense object detection'
  README: configs/rotated_retinanet/README.md

Models:
  - Name: rotated_retinanet_hbb_r50_fpn_1x_dota_oc
    In Collection: rotated_retinanet
    Config: configs/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_1x_dota_oc.py
    Metadata:
      Training Data: DOTAv1.0
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 64.55
    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_1x_dota_oc/rotated_retinanet_hbb_r50_fpn_1x_dota_oc-e8a7c7df.pth

  - Name: rotated_retinanet_obb_r50_fpn_1x_dota_le90
    In Collection: rotated_retinanet
    Config: configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le90.py
    Metadata:
      Training Data: DOTAv1.0
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 68.42
    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le90/rotated_retinanet_obb_r50_fpn_1x_dota_le90-c0097bc4.pth

  - Name: rotated_retinanet_obb_r50_fpn_fp16_1x_dota_le90
    In Collection: rotated_retinanet
    Config: configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_fp16_1x_dota_le90.py
    Metadata:
      Training Data: DOTAv1.0
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 68.79
    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_fp16_1x_dota_le90/rotated_retinanet_obb_r50_fpn_fp16_1x_dota_le90-01de71b5.pth

  - Name: rotated_retinanet_obb_r50_fpn_1x_dota_le135
    In Collection: rotated_retinanet
    Config: configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le135.py
    Metadata:
      Training Data: DOTAv1.0
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 69.79
    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_le135/rotated_retinanet_obb_r50_fpn_1x_dota_le135-e4131166.pth

  - Name: rotated_retinanet_obb_r50_fpn_1x_dota_ms_rr_le90
    In Collection: rotated_retinanet
    Config: configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_ms_rr_le90.py
    Metadata:
      Training Data: DOTAv1.0
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 76.50
    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_1x_dota_ms_rr_le90/rotated_retinanet_obb_r50_fpn_1x_dota_ms_rr_le90-1da1ec9c.pth

  - Name: rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc
    In Collection: rotated_retinanet
    Config: configs/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc.py
    Metadata:
      Training Data: HRSC2016
    Results:
      - Task: Oriented Object Detection
        Dataset: HRSC2016
        Metrics:
          mAP: 45.09/79.30/46.90
    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc/rotated_retinanet_hbb_r50_fpn_6x_hrsc_rr_oc-f37eada6.pth

  - Name: rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90
    In Collection: rotated_retinanet
    Config: configs/rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90.py
    Metadata:
      Training Data: HRSC2016
    Results:
      - Task: Oriented Object Detection
        Dataset: HRSC2016
        Metrics:
          mAP: 52.06/84.80/58.10
    Weights: https://download.openmmlab.com/mmrotate/v0.1.0/rotated_retinanet/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90/rotated_retinanet_obb_r50_fpn_6x_hrsc_rr_le90-ee4f18af.pth
