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Table 2 Proposed pre-trained classification models weight size and their top-1 accuracy performance on the ImageNet’s validation dataset

From: Single-cell conventional pap smear image classification using pre-trained deep neural network architectures

Model

Size

Top-1 Accuracy

NASNetLarge

343 MB

0.825

InceptionResNetV2

215 MB

0.803

Xception

88 MB

0.790

ResNet152V2

232 MB

0.780

InceptionV3

92 MB

0.779

DenseNet201

80 MB

0.773

ResNet101V2

171 MB

0.772

ResNet152

232 MB

0.766

ResNet101

171 MB

0.764

DenseNet169

57 MB

0.762