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 documentation for the `AutoMlImageSegmentationInputs.Types.ModelType` enum within the `Google.Cloud.AIPlatform.V1` namespace, 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`."],["Each model type has different characteristics, with `CloudHighAccuracy1` offering higher prediction quality at the cost of higher latency, `CloudLowAccuracy1` prioritizing lower latency, and `MobileTfLowLatency1` being designed for mobile and edge devices with low latency."],["The latest version available for this enum is 3.22.0, with many previous versions, dating all the way back to version 1.0.0, that are also documented and accessible through the links provided."]]],[]]
