Table 3 Performances of the developed deep learning algorithms.

From: Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques

SAM variant

Dataset

MobileNetV2

VGG19

Dense-Net

Squeeze-Net

ResNet

Inception-v3

SAM

Floating waste

0.86, 0.84, 0.88, 0.86

0.87, 0.87, 0.86, 0.86

0.85, 0.90, 0.78, 0.83

0.80, 0.78, 0.82, 0.80

0.79, 0.76, 0.84, 0.80

0.83, 0.82, 0.84, 0.83

Municipal waste

0.92, 0.92, 0.92, 0.92

0.87, 0.84, 0.90, 0.87

0.89, 0.86, 0.92, 0.89

0.88, 0.88, 0.88, 0.88

0.89, 0.86, 0.92, 0.89

0.90, 0.91, 0.90, 0.90

E-waste

0.97, 0.97, 0.96, 0.96

0.93, 0.93, 0.92, 0.92

0.87, 0.84, 0.90, 0.87

0.9, 0.93, 0.86, 0.89

0.94, 0.92, 0.96, 0.94

0.93, 0.95, 0.90, 0.92

Smart bin waste

0.93, 0.93, 0.92, 0.92

0.91, 0.91, 0.90, 0.90

0.91, 0.93, 0.88, 0.90

0.89, 0.89, 0.88, 0.88

0.93, 0.93, 0.92, 0.92

0.91, 0.90, 0.92, 0.91

FastSAM

Floating waste

0.90, 0.88, 0.92, 0.90

0.89, 0.89, 0.88, 0.88

0.86, 0.92, 0.78, 0.84

0.83, 0.83, 0.82, 0.82

0.80, 0.77, 0.84, 0.80

0.84, 0.82, 0.86, 0.84

Municipal waste

0.94, 0.94, 0.94, 0.94

0.89, 0.86, 0.92, 0.89

0.90, 0.88, 0.92, 0.90

0.90, 0.91, 0.88, 0.89

0.93, 0.90, 0.96, 0.93

0.92, 0.93, 0.90, 0.91

E-waste

0.97, 0.97, 0.96, 0.96

0.95, 0.95, 0.94, 0.94

0.90, 0.88, 0.92, 0.90

0.92, 0.95, 0.88, 0.91

0.95, 0.94, 0.96, 0.95

0.94, 0.97, 0.90, 0.93

Smart bin waste

0.93, 0.94, 0.94, 0.94

0.92, 0.92, 0.92, 0.92

0.90, 0.91, 0.88, 0.89

0.89, 0.88, 0.90, 0.89

0.94, 0.95, 0.92, 0.93

0.91, 0.90, 0.92, 0.91

MobileSAMv2

Floating waste

0.89, 0.88, 0.92, 0.89

0.87, 0.93, 0.80, 0.86

0.86, 0.92, 0.78, 0.84

0.86, 0.84, 0.88, 0.86

0.80, 0.80, 0.80, 0.80

0.85, 0.83, 0.88, 0.85

Municipal waste

0.93, 0.92, 0.94, 0.93

0.91, 0.88, 0.94, 0.91

0.92, 0.92, 0.92, 0.92

0.91, 0.92, 0.90, 0.90

0.92, 0.88, 0.92, 0.92

0.90, 0.91, 0.88, 0.89

E-waste

0.96, 0.96, 0.96, 0.96

0.94, 0.95, 0.92, 0.93

0.90, 0.87, 0.94, 0.90

0.91, 0.93, 0.88, 0.90

0.94, 0.92, 0.96, 0.94

0.93, 0.95, 0.90, 0.92

Smart bin waste

0.93, 0.94, 0.94, 0.94

0.93, 0.93, 0.92, 0.92

0.89, 0.89, 0.88, 0.88

0.90, 0.88, 0.92, 0.90

0.96, 0.97, 0.94, 0.95

0.92, 0.90, 0.94, 0.92

EfficientSAM

Floating waste

0.91, 0.88, 0.94, 0.91

0.89, 0.88, 0.88, 0.88

0.87, 0.95, 0.88, 0.85

0.84, 0.85, 0.82, 0.83

0.81, 0.79, 0.84, 0.81

0.85, 0.84, 0.86, 0.85

Municipal waste

0.92, 0.90, 0.94, 0.92

0.88, 0.88, 0.88, 0.88

0.90, 0.88, 0.92, 0.90

0.91, 0.93, 0.88, 0.90

0.92, 0.88, 0.96, 0.92

0.91, 0.91, 0.90, 0.90

E-waste

0.94, 0.94, 0.90, 0.95

0.93, 0.92, 0.94, 0.93

0.91, 0.90, 0.92, 0.91

0.92, 0.95, 0.88, 0.91

0.92, 0.90, 0.94, 0.92

0.92, 0.93, 0.90, 0.91

Smart bin waste

0.93, 0.92, 0.94, 0.93

0.91, 0.90, 0.92, 0.91

0.91, 0.90, 0.92, 0.91

0.91, 0.92, 0.90, 0.91

0.91, 0.90, 0.92, 0.91

0.91, 0.90, 0.92, 0.91

  1. Values in cells: Accuracy / Precision / Recall / F1 score.