Skip to main content

Table 1 Definition of the evaluation metrics

From: Background-foreground segmentation for interior sensing in automotive industry

Name

Formula

Precision

\(\Pr = \frac{TP}{TP+FP}\)

Recall

\(\operatorname{Re} = \frac{TP}{TP+FN}\)

Specificity

\(\mathrm{Sp} = \frac{TN}{TN+FP}\)

Accuracy

\(\mathrm{Acc} = \frac{TP+TN}{TP+TN+FP+FN}\)

Similarity

\(\mathrm{Sim} = \frac{TP}{TP+FP+FN}\)

\(F_{1}\)-score

\(F_{1} = \frac{\Pr\cdot \operatorname{Re}}{\Pr +\operatorname{Re}} = \frac{2TP}{2TP+FP+FN} \)