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 lists various versions of the `AutoMlImageSegmentationInputs.Types.ModelType` enum, ranging from version 1.0.0 to the latest version 3.22.0, each with a direct link to its documentation."],["The `AutoMlImageSegmentationInputs.Types.ModelType` enum, found within the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace, is part of the Google.Cloud.AIPlatform.V1.dll assembly."],["There are four fields within the enum: `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`, each providing different trade-offs between prediction quality and latency."],["The enum `ModelType` defines the type of model to be used for image segmentation in the uCAIP API, with options for high accuracy, low latency, and mobile deployment."]]],[]]
