kaggle中的2D目标检测训练trick总结

数据增强

• 主要是mixup和cutmix，详见https://docs.ultralytics.com/zh/guides/yolo-data-augmentation/#copy-paste-mode-copy_paste_mode

你可以在yolo中这样使用

model = YOLO("yolo11m.pt")
data_yaml = "/kaggle/working/yolo_params.yaml"model.train(data=data_yaml,epochs=10,                batch=4,                   imgsz=1056,patience=150,               optimizer='SGD',momentum=0.937,          lr0=0.001,                weight_decay=0.0005,       cos_lr=True,               save_period=1,             workers=8,# Augmentationsclose_mosaic=20,hsv_h=0.015,hsv_s=0.7,hsv_v=0.4,flipud=0.5,fliplr=0.5,translate=0.1,scale=0.5,shear=0.01
)