![]() ![]() In addition, other pretrained models are available through ML Kit and Google Cloud. Android Studio ML Model Binding Collection contains models that are compatible with Android Studio 4.1 beta's ML model binding feature.ML Kit Image Classification Collection which is designed to work with ML Kit Image Labeling and Object Detection and Tracking APIs.There are two model collections worth highlighting which works well with Android inference tooling: TensorFlow Hub contains a large repository of TensorFlow Lite models from Google and the wider research community that are optimized to run on Android. Model creation and training can be done on a development machine, or using cloud infrastructure. You can select (and possibly customize) an existing model, or build a model from scratch. Machine learning requires a model that's trained to perform a particular task, like making a prediction, or classifying or recognizing some input. ![]()
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