public sealed class ImageSegmentationPredictionParams : IMessage<ImageSegmentationPredictionParams>, IEquatable<ImageSegmentationPredictionParams>, IDeepCloneable<ImageSegmentationPredictionParams>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1beta1 API class ImageSegmentationPredictionParams.
Prediction model parameters for Image Segmentation.
When the model predicts category of pixels of the image, it will only
provide predictions for pixels that it is at least this much confident
about. All other pixels will be classified as background. Default value is
0.5.
[[["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 2025-03-25 UTC."],[[["This documentation covers the `ImageSegmentationPredictionParams` class within the Cloud AI Platform v1beta1 API, specifically for the .NET library."],["The `ImageSegmentationPredictionParams` class is used to set parameters for image segmentation prediction models, inheriting from `object` and implementing several interfaces like `IMessage` and `IEquatable`."],["The class includes a `ConfidenceThreshold` property, which determines the minimum confidence level for the model to classify pixels; pixels below this threshold are considered background."],["The documentation outlines two available constructors for creating `ImageSegmentationPredictionParams` objects, one being a default constructor, and another that takes a pre-existing object of the same type as a parameter."]]],[]]
