Table 2 Individual class performance metrics of proposed model.
From: Optimized car parts detection with advanced feature fusion and attention modules
Class | Precision (%) | Recall (%) | mAP@50 (%) | mAP@50–95 (%) |
|---|---|---|---|---|
back_bumper | 90.6 | 92.0 | 96.4 | 85.8 |
back_door | 81.9 | 91.8 | 94.1 | 86.9 |
back_glass | 86.9 | 92.2 | 95.6 | 85.7 |
back_left_door | 55.2 | 86.7 | 72.6 | 67.7 |
back_left_light | 52.7 | 76.2 | 59.2 | 47.3 |
back_light | 83.2 | 88.5 | 89.5 | 71.7 |
back_right_door | 43.0 | 83.3 | 59.8 | 54.8 |
back_right_light | 47.1 | 100 | 74.2 | 62.4 |
front_bumper | 89.8 | 97.1 | 97.0 | 91.4 |
front_door | 85.5 | 95.0 | 94.6 | 89.4 |
front_glass | 89.2 | 97.2 | 96.1 | 92.4 |
front_left_door | 62.0 | 93.3 | 77.2 | 76.7 |
front_left_light | 50.1 | 90.0 | 56.0 | 45.7 |
front_light | 88.5 | 91.4 | 91.7 | 75.1 |
front_right_door | 46.7 | 80.3 | 61.9 | 58.9 |
front_right_light | 42.0 | 80.8 | 54.7 | 48.9 |
hood | 85.5 | 96.7 | 94.2 | 89.7 |
left_mirror | 55.0 | 63.0 | 69.9 | 50.0 |
right_mirror | 61.6 | 80.6 | 69.3 | 48.7 |
tailgate | 41.3 | 80.0 | 57.0 | 43.1 |
trunk | 65.8 | 66.7 | 78.0 | 64.3 |
wheel | 53.4 | 54.1 | 55.2 | 39.7 |
