# fuel-efficientnet
Demonstrates a Fuel implementation of EfficientNet for image classification based on ImageNet classes.
## Running an example
```bash
$ cargo run --example efficientnet --release -- --image fuel-examples/examples/yolo-v8/assets/bike.jpg --which b1
> bicycle-built-for-two, tandem bicycle, tandem: 45.85%
> mountain bike, all-terrain bike, off-roader: 30.45%
> crash helmet : 2.58%
> unicycle, monocycle : 2.21%
> tricycle, trike, velocipede: 1.53%
```