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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 document outlines the different versions of \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e, a class used in Google Cloud's AI Platform for defining training job inputs, ranging from version 1.0.0 to the latest 3.22.0.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class 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, and inherits from the base \u003ccode\u003eobject\u003c/code\u003e class.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of the \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class include \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, which sets the training budget, \u003ccode\u003eDisableEarlyStopping\u003c/code\u003e, which controls early stopping behavior, and \u003ccode\u003eModelType\u003c/code\u003e, which defines the model's type.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e property allows for specifying the training budget in milli node hours, with default and required values varying depending on the \u003ccode\u003eModelType\u003c/code\u003e chosen.\u003c/p\u003e\n"],["\u003cp\u003eThe latest version listed is 3.22.0, while this documentation outlines version 3.7.0, and includes 52 total available versions to choose from.\u003c/p\u003e\n"]]],[],null,[]]
