public sealed class AutoMlImageObjectDetectionInputs : IMessage<AutoMlImageObjectDetectionInputs>, IEquatable<AutoMlImageObjectDetectionInputs>, IDeepCloneable<AutoMlImageObjectDetectionInputs>, IBufferMessage, IMessage
The training budget of creating this model, expressed in milli node
hours i.e. 1,000 value in this field means 1 node hour. The actual
metadata.costMilliNodeHours will be equal or less than this value.
If further model training ceases to provide any improvements, it will
stop without using the full budget and the metadata.successfulStopReason
will be model-converged.
Note, node_hour = actual_hour * number_of_nodes_involved.
For modelType cloud(default), the budget must be between 20,000
and 900,000 milli node hours, inclusive. The default value is 216,000
which represents one day in wall time, considering 9 nodes are used.
For model types mobile-tf-low-latency-1, mobile-tf-versatile-1,
mobile-tf-high-accuracy-1
the training budget must be between 1,000 and 100,000 milli node hours,
inclusive. The default value is 24,000 which represents one day in
wall time on a single node that is used.
Use the entire training budget. This disables the early stopping feature.
When false the early stopping feature is enabled, which means that AutoML
Image Object Detection might stop training before the entire training
budget has been used.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20 UTC."],[[["\u003cp\u003eThis webpage provides documentation for the \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class within the Google Cloud AI Platform's .NET library, detailing its structure and usage across various versions.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version available for \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e is 3.22.0, with a comprehensive list of prior versions dating back to 1.0.0 accessible via hyperlinks to their respective documentation.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class is part of the \u003ccode\u003eGoogle.Cloud.AIPlatform.V1.Schema.TrainingJob.Definition\u003c/code\u003e namespace and implements several interfaces, including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of the \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class include \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, which defines the training budget in milli node hours, \u003ccode\u003eDisableEarlyStopping\u003c/code\u003e, which allows disabling of the early stopping feature, and \u003ccode\u003eModelType\u003c/code\u003e, which defines the model type.\u003c/p\u003e\n"],["\u003cp\u003eThe documentation also covers the class's constructors, inherited members from the \u003ccode\u003eObject\u003c/code\u003e class, and the assembly where it's defined, which is \u003ccode\u003eGoogle.Cloud.AIPlatform.V1.dll\u003c/code\u003e.\u003c/p\u003e\n"]]],[],null,[]]
