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 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 latest version of this resource is `3.22.0`, with all versions linked for direct access to their respective documentation."],["The `AutoMlImageSegmentationInputs.Types.ModelType` enum defines model types for image segmentation, including `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`."],["Each model type within the enum offers distinct performance characteristics, such as higher accuracy or lower latency, catering to different prediction needs."],["The provided documentation is related to the namespace `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` within the `Google.Cloud.AIPlatform.V1.dll` assembly."]]],[]]
