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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-20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 this class is 3.22.0, and the page contains a comprehensive list of versions dating back to version 1.0.0, each linked to its corresponding documentation.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e implements multiple interfaces including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, indicating its role in message handling and object management.\u003c/p\u003e\n"],["\u003cp\u003eThe class includes properties such as \u003ccode\u003eBudgetMilliNodeHours\u003c/code\u003e to manage the training time budget and \u003ccode\u003eDisableEarlyStopping\u003c/code\u003e to control whether training continues until the budget is exhausted, and \u003ccode\u003eModelType\u003c/code\u003e to define the type of the model.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e class has two constructors: a default constructor and one that accepts another instance of \u003ccode\u003eAutoMlImageObjectDetectionInputs\u003c/code\u003e for deep cloning.\u003c/p\u003e\n"]]],[],null,[]]
