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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 .NET library, specifically for versions ranging from 1.0.0 to the latest 3.22.0.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class is used for configuring inputs for training an AutoML image object detection model, and it implements several interfaces like \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, and \u003ccode\u003eIDeepCloneable\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of the \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class include \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e to set the training budget, \u003ccode\u003eDisableEarlyStopping\u003c/code\u003e to control early stopping, and \u003ccode\u003eModelType\u003c/code\u003e to specify the type of model.\u003c/p\u003e\n"],["\u003cp\u003eThe training budget, \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e, has different constraints depending on whether the \u003ccode\u003eModelType\u003c/code\u003e is set to \u003ccode\u003ecloud\u003c/code\u003e or \u003ccode\u003emobile\u003c/code\u003e, and the default value varies between these model types as well.\u003c/p\u003e\n"],["\u003cp\u003eThe documentation is organized by version number, allowing users to access information relevant to their specific version of the Google Cloud AI Platform .NET library.\u003c/p\u003e\n"]]],[],null,[]]
