A model to be used via prediction calls to uCAIP API. Expected
to have a higher latency, but should also have a higher prediction
quality than other models.
CloudLowAccuracy1
A model to be used via prediction calls to uCAIP API. Expected
to have a lower latency but relatively lower prediction quality.
MobileTfLowLatency1
A model that, in addition to being available within Google
Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
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.
[[["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 2025-03-21 UTC."],[[["This page details the available versions of `AutoMlImageSegmentationInputs.Types.ModelType` within the Google Cloud AI Platform V1, ranging from version 1.0.0 up to the latest 3.22.0."],["The `AutoMlImageSegmentationInputs.Types.ModelType` enum provides options for different model types, including `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`."],["Each version listed links to its respective documentation, allowing users to view specific details and changes for each release of the `AutoMlImageSegmentationInputs.Types.ModelType`."],["The namespace for this enum is `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition`, found within the `Google.Cloud.AIPlatform.V1.dll` assembly."],["The different model types within this enum offer various trade-offs between prediction quality and latency, catering to diverse application needs within the Google Cloud AI Platform."]]],[]]
