Table 7 Results summary of proposed model for normal-case and hard-case test dataset category-wise.

From: Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety

Train Dataset

Test Dataset

Categories

Images

Instances

Precision

Recall

mAP50

mAP50-90

train ( normal Dataset    \(\cup\)

hard Dataset)

test normal Dataset

All

816

816

0.88

0.89

0.92

0.77

Blood

83

83

0.83

0.81

0.87

0.60

Gun

149

149

0.95

0.92

0.96

0.84

Insulting Gesture

69

69

0.97

0.97

0.99

0.83

Knife

354

354

0.91

0.82

0.89

0.76

Alcohol

79

79

0.71

0.91

0.90

0.81

Cigarette

82

82

0.91

0.89

0.94

0.79

test hard Dataset

All

722

2145

0.84

0.74

0.82

0.62

Blood

149

455

0.77

0.57

0.69

0.47

Gun

84

135

0.87

0.67

0.81

0.60

Insulting Gesture

40

62

0.92

0.89

0.93

0.75

Knife

123

224

0.82

0.66

0.77

0.62

Alcohol

146

586

0.87

0.76

0.84

0.67

Cigarette

230

683

0.86

0.79

0.85

0.65