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 webpage provides a comprehensive list of versions for `AutoMlImageSegmentationInputs.Types.ModelType`, spanning from version 1.0.0 to the latest version 3.22.0."],["The `AutoMlImageSegmentationInputs.Types.ModelType` is an enumeration within the `Google.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition` namespace, found in the `Google.Cloud.AIPlatform.V1.dll` assembly."],["The enumeration includes four distinct fields: `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`, each serving different use cases and having varying trade-offs in prediction quality and latency."],["The `CloudHighAccuracy1` model prioritizes prediction accuracy over speed, while `CloudLowAccuracy1` model focuses on minimizing latency at the cost of some prediction accuracy."],["The `MobileTfLowLatency1` is designed to be exported and used on mobile or edge devices, it also favors low latency but may have the lowest prediction accuracy of all the models."]]],[]]
