mmyolo/configs/yolov8/metafile.yml

Collections:
  - Name: YOLOv8
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Nesterov
        - Weight Decay
        - AMP
        - Synchronize BN
      Training Resources: 8x A100 GPUs
      Architecture:
        - CSPDarkNet
        - PAFPN
        - Decoupled Head
    README: configs/yolov8/README.md
    Code:
      URL: https://github.com/open-mmlab/mmyolo/blob/v0.0.1/mmyolo/models/detectors/yolo_detector.py#L12
      Version: v0.0.1

Models:
  - Name: yolov8_n_syncbn_fast_8xb16-500e_coco
    In Collection: YOLOv8
    Config: configs/yolov8/yolov8_n_syncbn_fast_8xb16-500e_coco.py
    Metadata:
      Training Memory (GB): 2.8
      Epochs: 500
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 37.2
    Weights: https://download.openmmlab.com/mmyolo/v0/yolov8/yolov8_n_syncbn_fast_8xb16-500e_coco/yolov8_n_syncbn_fast_8xb16-500e_coco_20230114_131804-88c11cdb.pth
  - Name: yolov8_s_syncbn_fast_8xb16-500e_coco
    In Collection: YOLOv8
    Config: configs/yolov8/yolov8_s_syncbn_fast_8xb16-500e_coco.py
    Metadata:
      Training Memory (GB): 4.0
      Epochs: 500
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 44.2
    Weights: https://download.openmmlab.com/mmyolo/v0/yolov8/yolov8_s_syncbn_fast_8xb16-500e_coco/yolov8_s_syncbn_fast_8xb16-500e_coco_20230117_180101-5aa5f0f1.pth
  - Name: yolov8_m_syncbn_fast_8xb16-500e_coco
    In Collection: YOLOv8
    Config: configs/yolov8/yolov8_m_syncbn_fast_8xb16-500e_coco.py
    Metadata:
      Training Memory (GB): 7.2
      Epochs: 500
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 49.8
    Weights: https://download.openmmlab.com/mmyolo/v0/yolov8/yolov8_m_syncbn_fast_8xb16-500e_coco/yolov8_m_syncbn_fast_8xb16-500e_coco_20230115_192200-c22e560a.pth