MobileNet-V2-Pytorch Introduction This is a Pytorch implementation of Google's MobileNet-V2. For details, please read the following papers: Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation Pretrained Models on ImageNet We provide pretrained MobileNet-V2 models on ImageNet, which achieve slightly better accuracy rates than the original ones reported in the paper. The top-1/5 accuracy rates by using single center crop (crop size: 224x224, image size: 256xN): Network Top-1 Top-5 Top-1(reported in the paper) MobileNet v2 71.806 90.410 71.70 Evaluate Models python eval.py -a mobilenetv2 --evaluate ./mobilenetv2_Top1_71.806_Top2_90.410.pth.tar ./ILSVRC2012/ Dataset prepare Refer to https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md#download-the-imagenet-dataset