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license: mit
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## 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
* 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

# 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)
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