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 2025-04-08 UTC."],[[["This webpage provides a comprehensive list of versions for the `AutoMlImageSegmentationInputs.Types.ModelType` enum, ranging from the latest version 3.22.0 down to version 1.0.0."],["The `AutoMlImageSegmentationInputs.Types.ModelType` enum is part of the `Google.Cloud.AIPlatform.V1` namespace within the `Google.Cloud.AIPlatform.V1.dll` assembly, and is used to define the types of models for AutoML image segmentation."],["There are four defined fields for the `ModelType` enum: `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`, each with specific characteristics related to latency, prediction quality, and usage environments."],["Each version listed links to the corresponding documentation for that specific release of `AutoMlImageSegmentationInputs.Types.ModelType`, enabling detailed review of changes between versions."],["The documentation covers models that can be used via prediction calls in the uCAIP API, with `CloudHighAccuracy1` providing higher prediction quality at the expense of latency, and `CloudLowAccuracy1` providing the inverse, with lower latency and lower prediction quality, and `MobileTfLowLatency1` being a model that can be exported as a Tensorflow model for use on mobile devices."]]],[]]
