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