Table 1.
Comparison of mAP with different models.
| Model | Mean average precision |
|---|---|
| YOLOv2 | 33.10% |
| Faster-RCNN + ZF | 69.01% |
| SSD300-VGG | 84.37% |
| SSD300-ResNet | 81.92% |
| SSD500-VGG | 89.14% |
| SSD500-ResNet | 89.03% |
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