predict 5 classes

  • "names": ['hat','nohat','novest','person','vest']

Performance

  • yolo11n series : mAP50 0.708
  • yolo11m series : mAP50 0.809

Showcase

  • showcase

Usage

  • from ultralytics import YOLO
    import cv2
    model = YOLO("yolo11m_safety.pt")
    img= r"test.jpeg"
    results = model(img)
    predicted = results[0].plot()
    cv2.imwrite('predicted.jpg', predicted)
    
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