MobileNet v2
Perform realtime image classification directly in your Unity games and applications using MobileNet v2. This package enables efficient on-device inference across mobile, desktop, and web platforms, supporting Android, iOS, macOS, Windows, and WebGL with minimal performance overhead.
ai.natml.vision.mobilenet-v2 
Install via UPM
Add to Unity Package Manager using this URL
https://www.pkglnk.dev/mobilenet-v2.git?path=Packages/ai.natml.vision.mobilenet-v2 README Markdown
Copy this to your project's README.md
## Installation
Add **MobileNet v2** to your Unity project via Package Manager:
1. Open **Window > Package Manager**
2. Click **+** > **Add package from git URL**
3. Enter:
```
https://www.pkglnk.dev/mobilenet-v2.git?path=Packages%2Fai.natml.vision.mobilenet-v2
```
[](https://www.pkglnk.dev/pkg/mobilenet-v2)Dependencies (1)
README
MobileNet v2

Realtime image classification with MobileNet v2.
Running the Sample
Retrieve your access key from NatML Hub and add it to your Project Settings.

Using the Predictor in a Different Project
See the predictor README for more details.
Requirements
- Unity 2022.3+
Supported Platforms
- Android API level 24+
- iOS 14+
- macOS 10.15+ (Apple Silicon and Intel)
- Windows 10+ (64-bit only)
- WebGL:
- Chrome 91+
- Firefox 90+
Resources
- Join the NatML community on Discord.
- See the NatML documentation.
- Check out NatML on GitHub.
- Contact us at hi@natml.ai.
Thank you very much!
No comments yet. Be the first!