---
license: mit
library_name: unity-sentis
pipeline_tag: image-classification
---

## MobileNet V2 in Unity Sentis Format

This is a small image classification model that works in Unity 2023. It is based on [MobileNet V2](https://arxiv.org/abs/1801.04381)

## How to Use
* Create a new scene in Unity 2023
* Install `com.unity.sentis` version `1.3.0-pre.3` from the package manager
* Add the C# script to the Main Camera
* Put the `mobilenet_v2.sentis` model in the `Assets/StreamingAssets` folder
* Drag the `class_desc.txt` on to the `labelsAsset` field
* Drag one of the sample images on to the inputImage field in the inspector.
* Press play and the result of the prediction will print to the console window.

# Example input
![bee](Images/Bee.jpg)
# Example output
`Bee (100%)`

## Unity Sentis
Unity Sentis is the inference engine for Unity 3D. You can find more about it [here](https://unity.com/products/sentis)