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ogyalcin/Pre-Trained Model Performances.csv

Created September 22, 2020 19:02
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Pre-Trained Model Performances.csv
Model Size Top-1 Accuracy Top-5 Accuracy Parameters Depth
Xception 88 MB 0.79 0.945 22,910,480 126
VGG16 528 MB 0.713 0.901 138,357,544 23
VGG19 549 MB 0.713 0.9 143,667,240 26
ResNet50 98 MB 0.749 0.921 25,636,712 -
ResNet101 171 MB 0.764 0.928 44,707,176 -
ResNet152 232 MB 0.766 0.931 60,419,944 -
ResNet50V2 98 MB 0.76 0.93 25,613,800 -
ResNet101V2 171 MB 0.772 0.938 44,675,560 -
ResNet152V2 232 MB 0.78 0.942 60,380,648 -
InceptionV3 92 MB 0.779 0.937 23,851,784 159
InceptionResNetV2 215 MB 0.803 0.953 55,873,736 572
MobileNet 16 MB 0.704 0.895 4,253,864 88
MobileNetV2 14 MB 0.713 0.901 3,538,984 88
DenseNet121 33 MB 0.75 0.923 8,062,504 121
DenseNet169 57 MB 0.762 0.932 14,307,880 169
DenseNet201 80 MB 0.773 0.936 20,242,984 201
NASNetMobile 23 MB 0.744 0.919 5,326,716 -
NASNetLarge 343 MB 0.825 0.96 88,949,818 -
EfficientNetB0 29 MB 0.771 0.933 5,330,571 -
EfficientNetB1 31 MB 0.791 0.944 7,856,239 -
EfficientNetB2 36 MB 0.801 0.949 9,177,569 -
EfficientNetB3 48 MB 0.816 0.957 12,320,535 -
EfficientNetB4 75 MB 0.829 0.964 19,466,823 -
EfficientNetB5 118 MB 0.836 0.967 30,562,527 -
EfficientNetB6 166 MB 0.84 0.968 43,265,143 -
EfficientNetB7 256 MB 0.843 0.97 66,658,687 -
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