Table 1 The mAP (%) comparison of the proposed method with YOLOv3 on PASCAL VOC
From: Multiclass objects detection algorithm using DarkNet-53 and DenseNet for intelligent vehicles
Method | Backbone | Input size | AP (%) | mAP (%) | ||||
|---|---|---|---|---|---|---|---|---|
Person | Bicycle | Bus | Car | Motorbike | ||||
YOLOv3 | DarkNet53 | 608 × 608 | 90.26 | 89.94 | 89.35 | 84.08 | 76.01 | 85.92 |
Ours | DarkNet53 | 608 × 608 | 91.34 | 91.56 | 89.92 | 88.54 | 82.88 | 88.84 |