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 document outlines the `AutoMlImageClassificationInputs.Types.ModelType` enum, which is part of the `Google.Cloud.AIPlatform.V1Beta1.Schema.TrainingJob.Definition` namespace, and is found within the `Google.Cloud.AIPlatform.V1Beta1.dll` assembly."],["The enum defines five distinct model types for AutoML image classification: `Cloud`, `MobileTfHighAccuracy1`, `MobileTfLowLatency1`, `MobileTfVersatile1`, and `Unspecified`."],["The `Cloud` model type is designed for use within Google Cloud only and cannot be exported, while the other mobile model types are exportable as TensorFlow or Core ML models for use on mobile or edge devices."],["The `MobileTfHighAccuracy1` model prioritizes prediction quality, and `MobileTfLowLatency1` prioritizes speed, and `MobileTfVersatile1` is suited to be use on mobile and edge devices."],["The `Unspecified` model type is a placeholder, and should not be used."]]],[]]
