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Table 3 The average performance of models with different evaluation metrics on images with soil background

From: Deep learning-based detection of seedling development

Model

Accuracy

Error

Sensitivity

Specificity

Precision

False positive rate

Multi-class CNN

0.63 ± 0.20

0.37 ± 0.20

0.63 ± 0.2

0.94 ± 0.05

0.88 ± 0.1

0.06 ± 0.05

2-class CNN’s

0.72 ± 0.25

0.28 ± 0.26

0.72 ± 0.24

0.95 ± 0.06

0.90 ± 0.11

0.08 ± 0.05

CNN-LSTM

0.83 ± 0.10

0.15 ± 0.10

0.82 ± 0.10

0.93 ± 0.06

0.85 ± 0.10

0.06 ± 0.06

ConvLSTM

0.62 ± 0.2

0.33 ± 0.2

0.68 ± 0.2

0.93 ± 0.07

0.84 ± 0.1

0.06 ± 0.06