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Table 1 Detection performances of the different models in the test dataset

From: Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

Model

Average inference time (ms)

mAP50

C. sepium AP50

Sugar beet AP50

YOLO V3

40.75

0.832

0.726

0.938

YOLO V3-tiny

6.39

0.810

0.705

0.914

Proposed

6.48

0.829

0.761

0.897

  1. Italic values indicate the best values compared to others
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Plant Methods

ISSN: 1746-4811