A Model best tailored to be used within Google Cloud, and which cannot
be exported.
Default.
MobileTfHighAccuracy1
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML model and used on a mobile or edge device afterwards.
Expected to have a higher latency, but should also have a higher
prediction quality than other mobile models.
MobileTfLowLatency1
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML model and used on a mobile or edge device afterwards.
Expected to have low latency, but may have lower prediction
quality than other mobile models.
MobileTfVersatile1
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
or Core ML model and used on a mobile or edge device with afterwards.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-25 UTC."],[[["This page details the `ModelType` enum within the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition.AutoMlImageClassificationInputs.Types` namespace, as part of the Google Cloud AI Platform V1 library, with the latest version being 3.22.0."],["It lists all available versions of the `ModelType` enum, spanning from version 1.0.0 up to the latest version, allowing developers to access specific version documentation."],["The `ModelType` enum defines different model types for image classification, including `Cloud`, `MobileTfHighAccuracy1`, `MobileTfLowLatency1`, `MobileTfVersatile1`, and `Unspecified`, each with distinct characteristics regarding cloud usage, exportability, latency, and prediction quality."],["The `Cloud` model type is designed for exclusive use within Google Cloud, whereas the other three can be exported for use on mobile or edge devices in either TensorFlow or Core ML format."],["The table outlines the `ModelType` enum field names and provides a detailed description of each field, explaining their functionalities and limitations."]]],[]]
