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.