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`, spanning from version 1.0.0 to the latest version 3.22.0, which are used for the Google Cloud AI Platform."],["The `AutoMlImageSegmentationInputs.Types.ModelType` is an enumeration with four distinct fields: `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`."],["Each version entry links to detailed documentation for the `AutoMlImageSegmentationInputs.Types.ModelType` within that specific release, enabling users to understand changes and features across different releases."],["The `ModelType` enumeration defines different model types for use with the Google Cloud AI Platform, each with varying trade-offs between prediction quality and latency, including options designed for mobile and edge device deployment."]]],[]]
