Table 2 Comparative experiment on the performance of different deep learning algorithms.

From: Studying the performance of YOLOv11 incorporating DHSA BRA and PPA modules in railway track fasteners defect detection

Model

P (%)

R (%)

AP

mAP 0.5(%)

mAP 0.5:0.95 (%)

Model size(M)

FPS

SDmAP 0.5 (10− 16)

SDmAP 0.5:0.95 (10− 16)

Normal (%)

Rotation (%)

Lack (%)

Break (%)

Railway track fastening dataset

 PP-YOLOE-S

94.8

90.0

99.4

98.9

77.3

97.8

93.7

78.5

30.6

55.4

1.08

1.03

 Rtdetr- resent50

83.7

66.4

98.2

62.0

63.9

47.6

67.9

48.4

171.3

27.5

1.12

1.13

 Rtdetr-l

78.5

52.7

96.7

55.6

39.5

39.8

58.4

45.2

131.5

27.0

1.14

1.13

 YOLO3n

94.6

88.6

99.4

98.8

78.4

99.5

93.9

79.6

414.9

41.0

1.03

1.07

 YOLO5n

96.1

91.7

99.3

99.1

77.9

99.5

93.9

78.6

10.3

58.9

1.06

1.06

 YOLO6n

96.0

88.7

99.3

97.6

77.4

96.4

92.7

75.6

17.1

64.5

1.03

1.05

 YOLO8n

88.0

91.5

99.4

99.1

77.1

97.6

93.3

78.2

12.3

63.8

1.07

1.02

 YOLO10n

96.5

90.3

99.2

98.2

79.3

99.5

94.1

77.3

9.3

55.1

1.05

1.01

 YOLO11n

94.4

90.5

98.9

98.3

76.4

97.9

92.8

76.7

10.6

48.2

1.09

1.10

 YOLO-DRPA

95.4

93.5

99.4

99.5

79.0

99.5

94.6

80.7

18.2

38.5

1.03

1.02

External railway track fastening dataset

 PP-YOLOE-S

92.8

89.9

98.0

70.1

77.2

96.1

85.8

71.2

30.6

55.4

1.07

1.06

 Rtdetr-resent50

80.7

60.6

95.7

39.1

61.5

46.2

61.5

43.8

171.3

27.5

1.13

1.12

 Rtdetr-l

73.9

39.9

93.0

25.7

29.5

31.2

44.9

31.7

131.5

27.0

1.14

1.15

 YOLO3n

92.9

80.6

97.9

69.8

78.6

99.3

86.1

72.9

414.9

41.0

1.03

1.08

 YOLO5n

93.8

83.8

98.4

70.7

77.9

99.4

86.2

71.7

10.3

58.9

1.05

1.06

 YOLO6n

93.9

80.0

98.4

67.9

76.7

96.0

84.7

68.9

17.1

64.5

1.03

1.04

 YOLO8n

90.5

78.4

97.9

69.3

77.3

95.8

85.3

70.8

12.3

63.8

1.08

1.02

 YOLO10n

96.1

83.0

98.4

70.4

78.0

99.3

86.3

70.7

9.3

55.1

1.04

1.02

 YOLO11n

92.1

83.3

98.2

70.6

76.7

95.9

85.4

71.4

10.6

48.2

1.09

1.11

 YOLO-DRPA

95.5

87.6

98.4

74.3

78.2

99.4

86.5

73.2

18.2

38.5

1.05

1.02