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YOLO-World
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Collections:
  - Name: RTMDet
    Metadata:
      Training Data: COCO
      Training Techniques:
        - AdamW
        - Flat Cosine Annealing
      Training Resources: 8x A100 GPUs
      Architecture:
        - CSPNeXt
        - CSPNeXtPAFPN
    README: configs/rtmdet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmyolo/blob/main/mmyolo/models/detectors/yolo_detector.py#L12
      Version: v0.1.1
  - Name: Rotated_RTMDet
    Metadata:
      Training Data: DOTAv1.0
      Training Techniques:
        - AdamW
        - Flat Cosine Annealing
      Training Resources: 1x A100 GPUs
      Architecture:
        - CSPNeXt
        - CSPNeXtPAFPN
    README: configs/rtmdet/README.md
    Code:
      URL: https://github.com/open-mmlab/mmyolo/blob/main/mmyolo/models/detectors/yolo_detector.py#L12
      Version: v0.1.1

Models:
  - Name: rtmdet_tiny_syncbn_fast_8xb32-300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/rtmdet_tiny_syncbn_fast_8xb32-300e_coco.py
    Metadata:
      Training Memory (GB): 11.7
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.0
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_tiny_syncbn_fast_8xb32-300e_coco/rtmdet_tiny_syncbn_fast_8xb32-300e_coco_20230102_140117-dbb1dc83.pth

  - Name: kd_tiny_rtmdet_s_neck_300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/distillation/kd_tiny_rtmdet_s_neck_300e_coco.py
    Metadata:
      Training Memory (GB): 11.9
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.8
    Weights: https://download.openmmlab.com/mmrazor/v1/rtmdet_distillation/kd_tiny_rtmdet_s_neck_300e_coco/kd_tiny_rtmdet_s_neck_300e_coco_20230213_104240-e1e4197c.pth

  - Name: rtmdet_s_syncbn_fast_8xb32-300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco.py
    Metadata:
      Training Memory (GB): 15.9
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 44.6
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_s_syncbn_fast_8xb32-300e_coco/rtmdet_s_syncbn_fast_8xb32-300e_coco_20221230_182329-0a8c901a.pth

  - Name: kd_s_rtmdet_m_neck_300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/distillation/kd_s_rtmdet_m_neck_300e_coco.py
    Metadata:
      Training Memory (GB): 16.3
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 45.7
    Weights: https://download.openmmlab.com/mmrazor/v1/rtmdet_distillation/kd_s_rtmdet_m_neck_300e_coco/kd_s_rtmdet_m_neck_300e_coco_20230220_140647-446ff003.pth

  - Name: rtmdet_m_syncbn_fast_8xb32-300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/rtmdet_m_syncbn_fast_8xb32-300e_coco.py
    Metadata:
      Training Memory (GB): 27.8
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 49.3
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_m_syncbn_fast_8xb32-300e_coco/rtmdet_m_syncbn_fast_8xb32-300e_coco_20230102_135952-40af4fe8.pth

  - Name: kd_m_rtmdet_l_neck_300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/distillation/kd_m_rtmdet_l_neck_300e_coco.py
    Metadata:
      Training Memory (GB): 29.0
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 50.2
    Weights: https://download.openmmlab.com/mmrazor/v1/rtmdet_distillation/kd_m_rtmdet_l_neck_300e_coco/kd_m_rtmdet_l_neck_300e_coco_20230220_141313-b806f503.pth

  - Name: rtmdet_l_syncbn_fast_8xb32-300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/rtmdet_l_syncbn_fast_8xb32-300e_coco.py
    Metadata:
      Training Memory (GB): 43.2
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 51.4
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_l_syncbn_fast_8xb32-300e_coco/rtmdet_l_syncbn_fast_8xb32-300e_coco_20230102_135928-ee3abdc4.pth

  - Name: kd_l_rtmdet_x_neck_300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/distillation/kd_l_rtmdet_x_neck_300e_coco.py
    Metadata:
      Training Memory (GB): 45.2
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 52.3
    Weights: https://download.openmmlab.com/mmrazor/v1/rtmdet_distillation/kd_l_rtmdet_x_neck_300e_coco/kd_l_rtmdet_x_neck_300e_coco_20230220_141912-c9979722.pth

  - Name: rtmdet_x_syncbn_fast_8xb32-300e_coco
    In Collection: RTMDet
    Config: configs/rtmdet/rtmdet_x_syncbn_fast_8xb32-300e_coco.py
    Metadata:
      Training Memory (GB): 63.4
      Epochs: 300
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 52.8
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rtmdet_x_syncbn_fast_8xb32-300e_coco/rtmdet_x_syncbn_fast_8xb32-300e_coco_20221231_100345-b85cd476.pth

  - Name: rtmdet-r_tiny_fast_1xb8-36e_dota
    In Collection: Rotated_RTMDet
    Config: configs/rtmdet/rotated/rtmdet-r_tiny_fast_1xb8-36e_dota.py
    Metadata:
      Training Memory (GB): 12.7
      Epochs: 36
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 75.07
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_tiny_fast_1xb8-36e_dota/rtmdet-r_tiny_fast_1xb8-36e_dota_20230228_162210-e8ccfb1c.pth

  - Name: rtmdet-r_s_fast_1xb8-36e_dota
    In Collection: Rotated_RTMDet
    Config: configs/rtmdet/rotated/rtmdet-r_s_fast_1xb8-36e_dota.py
    Metadata:
      Training Memory (GB): 16.6
      Epochs: 36
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 77.33
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_s_fast_1xb8-36e_dota/rtmdet-r_s_fast_1xb8-36e_dota_20230224_110307-3946a5aa.pth

  - Name: rtmdet-r_m_syncbn_fast_2xb4-36e_dota
    In Collection: Rotated_RTMDet
    Config: configs/rtmdet/rotated/rtmdet-r_m_syncbn_fast_2xb4-36e_dota.py
    Metadata:
      Training Resources: 2x A100 GPUs
      Training Memory (GB): 10.9
      Epochs: 36
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 78.43
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_m_syncbn_fast_2xb4-36e_dota/rtmdet-r_m_syncbn_fast_2xb4-36e_dota_20230224_124237-29ae1619.pth

  - Name: rtmdet-r_l_syncbn_fast_2xb4-36e_dota
    In Collection: Rotated_RTMDet
    Config: configs/rtmdet/rotated/rtmdet-r_l_syncbn_fast_2xb4-36e_dota.py
    Metadata:
      Training Resources: 2x A100 GPUs
      Training Memory (GB): 16.1
      Epochs: 36
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 78.66
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_l_syncbn_fast_2xb4-36e_dota/rtmdet-r_l_syncbn_fast_2xb4-36e_dota_20230224_124544-38bc5f08.pth

  - Name: rtmdet-r_l_syncbn_fast_2xb4-aug-100e_dota
    In Collection: Rotated_RTMDet
    Config: configs/rtmdet/rotated/rtmdet-r_l_syncbn_fast_2xb4-aug-100e_dota.py
    Metadata:
      Training Resources: 2x A100 GPUs
      Training Memory (GB): 19.6
      Epochs: 100
    Results:
      - Task: Oriented Object Detection
        Dataset: DOTAv1.0
        Metrics:
          mAP: 80.14
    Weights: https://download.openmmlab.com/mmyolo/v0/rtmdet/rotated/rtmdet-r_l_syncbn_fast_2xb4-aug-100e_dota/rtmdet-r_l_syncbn_fast_2xb4-aug-100e_dota_20230224_124735-ed4ea966.pth