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 2025-04-09 UTC."],[[["This page provides a comprehensive list of versions for `AutoMlImageSegmentationInputs.Types.ModelType` within the `Google.Cloud.AIPlatform.V1` .NET library, ranging from version 1.0.0 to the latest 3.22.0."],["The `AutoMlImageSegmentationInputs.Types.ModelType` enum defines various model types, such as `CloudHighAccuracy1`, `CloudLowAccuracy1`, and `MobileTfLowLatency1`, each with different trade-offs between prediction quality and latency for use with the Google Cloud AI Platform."],["The documentation details the namespace (`Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition`) and the assembly (`Google.Cloud.AIPlatform.V1.dll`) where the `ModelType` enum is located."],["The list contains fields with descriptions for each model, such as the expected latencies and whether they can be exported for use on a mobile or edge device."]]],[]]
