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. 2020 Sep 7;20(18):5080. doi: 10.3390/s20185080

Table 2.

Comparison of our method and other state-of-the-art methods in terms of mAP values (%) on the Pascal VOC 2012 dataset. The best accuracy is shown in boldface.

Number Category Faster R-CNN (%) SSD (%) Mask R-CNN (%) SSOD (ours) (%)
1 aeroplane 84.9 85.6 86.5 84.3
2 bicycle 79.8 80.1 83.9 87.8
3 bird 74.3 70.5 77.6 79.4
4 boat 53.9 57.6 58.8 73.2
5 bottle 49.8 46.2 63.7 54.5
6 bus 77.5 79.4 80.4 84.3
7 car 75.9 76.1 78.2 86.1
8 cat 88.5 89.2 87.6 87.1
9 chair 45.6 53.0 56.0 60.8
10 cow 77.1 77.0 80.1 85.0
11 dining table 55.3 60.8 63.2 80.2
12 dog 86.9 87.0 88.0 86.6
13 horse 81.7 83.1 84.4 88.1
14 motorbike 80.9 82.3 85.7 84.5
15 person 79.6 79.4 79.9 79.8
16 potted plant 40.1 45.9 46.3 56.2
17 sheep 72.6 75.9 74.4 81.1
18 sofa 60.9 69.5 66.8 80.8
19 train 81.2 81.9 81.3 87.5
20 tv/monitor 61.5 67.5 75.0 80.6
- mAP 70.4 72.4 74.9 79.4