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Table 6 mAP, average mAP, SD, and η value achieved by the Resnet50-SSD model in detecting different blood cells in smear images when the best algorithm hyperparameters combination was used in three independent experimental runs

From: Automatic identifying and counting blood cells in smear images by using single shot detector and Taguchi method

Model

Dataset

mAP-Experiment no

Average mAP

SD

η value

mAP-1

mAP-2

mAP-3

Resnet50-SSD

Training set

0.7899

0.7866

0.7808

0.7858

0.0046

13.3823

Test set

0.7763

0.7772

0.7707

0.7747

0.0035

12.9461