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MobileNet-Caffe

Introduction

This is a Caffe implementation of Google's MobileNets. For details, please read the original paper:

Pretrained Models on ImageNet

We provide a pretrained MobileNet model on ImageNet, which achieves slightly better accuracy rates than the original one 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 Download Architecture
MobileNet 70.81 89.85 caffemodel (16.2 MB) netscope

Notes

  • BGR mean values [103.94,116.78,123.68] are subtracted
  • scale: 0.017 is used as std values for image preprocessing
  • please uncomment engine: CAFFE used in the conv layers with group, if you encounter memory problems.

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Caffe Implementation of Google's MobileNets

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