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 2025-04-01 UTC."],[[["This webpage details the `AutoMlImageSegmentationInputs.Types.ModelType` enum within the `Google.Cloud.AIPlatform.V1` namespace for .NET development."],["The latest version documented is 3.22.0, with a comprehensive list of versions spanning from 1.0.0 up to 3.22.0, providing a history of changes."],["The enum defines four model types: `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`, each with specific use cases and performance characteristics."],["The `ModelType` options are used within prediction calls to the uCAIP API, where the Cloud Models have different levels of accuracy and latency, while the MobileTf model is designed to be exported to mobile or edge devices."]]],[]]
