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 documentation for the `AutoMlImageSegmentationInputs.Types.ModelType` enum within the `Google.Cloud.AIPlatform.V1` library, covering versions from 1.0.0 up to the latest 3.22.0."],["The `ModelType` enum defines four different types of models for image segmentation: `CloudHighAccuracy1`, `CloudLowAccuracy1`, `MobileTfLowLatency1`, and `Unspecified`."],["`CloudHighAccuracy1` models offer higher prediction quality with increased latency, while `CloudLowAccuracy1` models prioritize lower latency with potentially lower prediction quality."],["`MobileTfLowLatency1` models are designed for use on mobile or edge devices and can be exported as TensorFlow models, but may have reduced prediction quality compared to other mobile models."],["`Unspecified` should not be set when deciding the type of Model to use."]]],[]]
