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Upload YOLO11L trained model for safety equipment detection

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  1. .gitattributes +51 -0
  2. archive_name.zip +3 -0
  3. detection_result.jpg +3 -0
  4. runs/detect/train/args.yaml +106 -0
  5. runs/detect/train/labels.jpg +3 -0
  6. runs/detect/train2/args.yaml +106 -0
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  14. runs/detect/train4/BoxPR_curve.png +3 -0
  15. runs/detect/train4/BoxP_curve.png +3 -0
  16. runs/detect/train4/BoxR_curve.png +3 -0
  17. runs/detect/train4/args.yaml +106 -0
  18. runs/detect/train4/confusion_matrix.png +3 -0
  19. runs/detect/train4/confusion_matrix_normalized.png +3 -0
  20. runs/detect/train4/labels.jpg +3 -0
  21. runs/detect/train4/results.csv +51 -0
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  28. runs/detect/train4/train_batch2962.jpg +3 -0
  29. runs/detect/train4/val_batch0_labels.jpg +3 -0
  30. runs/detect/train4/val_batch0_pred.jpg +3 -0
  31. runs/detect/train4/val_batch1_labels.jpg +3 -0
  32. runs/detect/train4/val_batch1_pred.jpg +3 -0
  33. runs/detect/train4/val_batch2_labels.jpg +3 -0
  34. runs/detect/train4/val_batch2_pred.jpg +3 -0
  35. runs/detect/train4/weights/best.onnx +3 -0
  36. runs/detect/train4/weights/best.pt +3 -0
  37. runs/detect/train4/weights/last.pt +3 -0
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  39. runs/detect/val/BoxPR_curve.png +3 -0
  40. runs/detect/val/BoxP_curve.png +3 -0
  41. runs/detect/val/BoxR_curve.png +3 -0
  42. runs/detect/val/confusion_matrix.png +3 -0
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