metafile.yml

Collections:
  - Name: DINO
    Metadata:
      Training Data: COCO
      Training Techniques:
        - AdamW
        - Multi Scale Train
        - Gradient Clip
      Training Resources: 8x A100 GPUs
      Architecture:
        - ResNet
        - Transformer
    Paper:
      URL: https://arxiv.org/abs/2203.03605
      Title: 'DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection'
    README: configs/dino/README.md
    Code:
      URL: https://github.com/open-mmlab/mmdetection/blob/f4112c9e5611468ffbd57cfba548fd1289264b52/mmdet/models/detectors/dino.py#L17
      Version: v3.0.0rc6

Models:
  - Name: dino-4scale_r50_8xb2-12e_coco.py
    In Collection: DINO
    Config: configs/dino/dino-4scale_r50_8xb2-12e_coco.py
    Metadata:
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 49.0
    Weights: https://download.openmmlab.com/mmdetection/v3.0/dino/dino-4scale_r50_8xb2-12e_coco/dino-4scale_r50_8xb2-12e_coco_20221202_182705-55b2bba2.pth

  - Name: dino-4scale_r50_8xb2-24e_coco.py
    In Collection: DINO
    Config: configs/dino/dino-4scale_r50_8xb2-24e_coco.py
    Metadata:
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO

  - Name:  dino-4scale_r50_8xb2-24e_coco.py
    In Collection: DINO
    Config: configs/dino/dino-4scale_r50_8xb2-36e_coco.py
    Metadata:
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO

  - Name: dino-5scale_swin-l_8xb2-12e_coco.py
    In Collection: DINO
    Config: configs/dino/dino-5scale_swin-l_8xb2-12e_coco.py
    Metadata:
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 57.2
    Weights: https://download.openmmlab.com/mmdetection/v3.0/dino/dino-5scale_swin-l_8xb2-12e_coco/dino-5scale_swin-l_8xb2-12e_coco_20230228_072924-a654145f.pth

  - Name: dino-5scale_swin-l_8xb2-36e_coco.py
    In Collection: DINO
    Config: configs/dino/dino-5scale_swin-l_8xb2-36e_coco.py
    Metadata:
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 58.4
    Weights: https://github.com/RistoranteRist/mmlab-weights/releases/download/dino-swinl/dino-5scale_swin-l_8xb2-36e_coco-5486e051.pth