Table 2 OD of FFDGCRN-ROD methodology under 70:30.

From: Intelligent feature fusion with dynamic graph convolutional recurrent network for robust object detection to assist individuals with disabilities in a smart Iot edge-cloud environment

Class Labels

\(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\)

\(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\)

\(\:\varvec{R}\varvec{e}\varvec{c}{\varvec{a}}_{\varvec{l}}\)

\(\:{\varvec{F}1}_{\varvec{S}\varvec{c}\varvec{o}\varvec{r}\varvec{e}}\)

\(\:{\varvec{G}}_{\varvec{M}\varvec{e}\varvec{a}\varvec{s}\varvec{u}\varvec{r}\varvec{e}\:}\)

TRAPH (70%)

Door

99.55

98.00

96.79

97.39

97.39

Cabinet Door

99.05

98.96

99.40

99.18

99.18

Refrigerator Door

99.38

97.01

98.41

97.70

97.71

Window

99.59

97.63

96.76

97.19

97.19

Chair

99.63

93.46

95.33

94.39

94.39

Table

99.66

93.55

97.75

95.60

95.63

Cabinet

99.55

94.04

92.21

93.11

93.12

Couch

99.72

83.33

29.41

43.48

49.51

Opened Door

99.74

94.03

88.73

91.30

91.34

Pole

99.78

88.89

66.67

76.19

76.98

Average

99.57

93.89

86.15

88.56

89.24

TESPH (30%)

Door

99.60

96.27

98.73

97.48

97.49

Cabinet Door

99.25

99.34

99.42

99.38

99.38

Refrigerator Door

99.45

97.63

98.02

97.82

97.82

Window

99.55

97.16

96.48

96.82

96.82

Chair

99.50

93.15

93.15

93.15

93.15

Table

99.65

94.37

95.71

95.04

95.04

Cabinet

99.70

94.44

94.44

94.44

94.44

Couch

99.90

100.00

71.43

83.33

84.52

Opened Door

99.85

100.00

84.21

91.43

91.77

Pole

99.85

90.91

83.33

86.96

87.04

Average

99.63

96.33

91.49

93.59

93.75