Table 3: The results for the networks VGG16net on MS COCO dataset.
Metrics |
COCO VGG 2000 Proposals |
COCO VGG 1800 Proposals |
COCO VGG 1000 Proposals |
AP |
0.428 |
0.420 |
0.340 |
AP.50 |
0.590 |
0.579 |
0.465 |
AP.75 |
0.472 |
0.453 |
0.380 |
APS |
0.254 |
0.237 |
0.172 |
APM |
0.433 |
0.421 |
0.290 |
APL |
0.511 |
0.490 |
0.383 |
ARS |
0.451 |
0.438 |
0.391 |
ARM |
0.592 |
0.586 |
0.520 |
ARL |
0.650 |
0.647 |
0.578 |
Where, AP: Average Precision; AP.50: Average Precision at IoU: 0.5; AP.75: Average Precision at IoU: 0.75; APS: Average Precision for small objects; APM: Average Precision for medium objects; APL: Average Precision for large objects; ARS: Average Recall for small objects; ARM: Average Recall for medium objects; ARL: Average Recall for large objects.