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. 2023 Jan 24;8(5):4597–4607. doi: 10.1021/acsomega.2c05451

Table 2. Accuracies (%) on the Hold-Out Set for the Classification of Liquids Using Different Pre-Trained CNN Models.

models Pipeline 1 Pipeline 2 Pipeline 3
AlexNet 96.69 94.21 87.33
DenseNet-201 100 100 99.17
GoogLeNet 98.35 97.52 90.36
RestNet-18 100 100 99.72
RestNet-50 100 100 97.25