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"]],[["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 2025-04-02 UTC."],[[["This webpage provides documentation for the `AutoMlImageObjectDetectionInputs` class within the Google Cloud AI Platform V1 .NET library, detailing its usage in training image object detection models."],["The content outlines various versions of the library, from 1.0.0 to the latest 3.22.0, allowing developers to access the documentation for specific releases, as well as providing a way to find the latest implementation."],["`AutoMlImageObjectDetectionInputs` implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, highlighting its role in data handling within the AI Platform."],["Key properties of the class include `BudgetMilliNodeHours` and `DisableEarlyStopping`, which control the training process's budget and the use of early stopping, respectively, as well as having a property called `ModelType`."],["The `AutoMlImageObjectDetectionInputs` class provides constructors for creating instances, including a default constructor and one that copies an existing instance, enabling flexible object instantiation."]]],[]]
