This is a MXNet implementation of Google's MobileNets. For details, please read the original paper:
A pretrained MobileNet model on ImageNet is provided and you can use score.py to reproduce the accuracy in ImageNet 2012 val dataset.
The top-1/5 accuracy rates by using single center crop (crop size: 224x224, image size: 256xN):
Network | Top-1 | Top-5 | model size |
---|---|---|---|
MobileNet | 71.24 | 90.15 | 16.6MB |
MobileNet-V2 | 71.62 | 90.27 | 13.8MB |