MobileNet v2 - Realtime Object Classifier
NatML
$0.0
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08/09(2021) |
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11/19(2024) |
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Realtime object classification machine learning model optimized for mobile applications.Perform realtime object classification on an image with the MobileNet v2 classifier. This package uses NatML to run the machine learning model. Features include:+ Bare Metal Performance. The MobileNet v2 predictor is implemented with NatML, which takes advantage of hardware machine learning accelerators, like CoreML on iOS and macOS, NNAPI on Android, and DirectML on Windows.+ Extremely Easy to Use. The MobileNet v2 predictor returns a label (string) along with the confidence score (float). As such, it can be used in a one-liner. See more on NatML Hub.+ Cross Platform. The MobileNet v2 predictor supports Android, iOS, macOS, and Windows alike. As such you can test it in the Editor, and deploy it to the device all in one seamless workflow.+ Augmented Reality. This predictor is particularly suited for augmented reality applications, where it can enhance gameplay by recognizing objects in the scene.+ Lightweight Package. This package contains the predictor scripts, whereas the ML model will be downloaded at runtime from NatML Hub and cached onto the device, reducing the app size significantly.Discover more ML models on NatML Hub.Join the NatML community on Discord.Check out the NatML documentation.See more NatML projects on GitHub.Read the NatML blog.Discuss NatML on Unity Forums.Contact us at hi@natml.ai.Dependencies- NatML 1.0.11+Supported Platforms- Android API Level 24+ (Android Nougar or newer)- iOS 13+- macOS 10.15+- Windows 10+, 64-bit only
