# fuel-mobileone
[MobileOne: An Improved One millisecond Mobile Backbone](https://arxiv.org/abs/2206.04040).
This fuel implementation uses a pre-trained MobileOne network for inference. The
classification head has been trained on the ImageNet dataset and returns the
probabilities for the top-5 classes.
## Running an example
```
$ cargo run --example mobileone --release -- --image fuel-examples/examples/yolo-v8/assets/bike.jpg --which s2
loaded image Tensor[dims 3, 224, 224; f32]
model built
mountain bike, all-terrain bike, off-roader: 79.33%
bicycle-built-for-two, tandem bicycle, tandem: 15.32%
crash helmet : 2.58%
unicycle, monocycle : 1.70%
alp : 0.21%
```