Research Article

Precision Measurement for Industry 4.0 Standards towards Solid Waste Classification through Enhanced Imaging Sensors and Deep Learning Model

Table 6

Precision and recall (test set) for MobileNetV2 using Softmax classifier global average pooling layer.

CategoryPrecisionRecall

Cardboard0.9070.840
Glass0.8730.683
Metal0.8270.817
Paper0.8310.908
Plastic0.7120.866
Trash0.6400.571
Average0.7980.781