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 |