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Table 3 Performance of the Proposed Vs Existing Models on MS-COCO Dataset

From: MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection

Models

Performance Metrics

Accuracy

Precision

Recall

F1-Score

AUC-ROC

YoLov4-5D [15]

91.86%

92.00%

91.34%

91.79%

0.606

FADNet [16]

92.89%

92.07%

92.40%

92.98%

0.697

OB-SOD [17]

94.86%

94.99%

94.84%

94.97%

0.799

SEPNet [18]

96.15%

96.65%

96.34%

96.26%

0.948

Proposed (MSRP-TODNet)

98.16%

98.89%

99.99%

99.97%

0.995