ImageInstanceSegmentation Class

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.2.1

Source:

ImageInstanceSegmentation.cs

Image Instance Segmentation. Instance segmentation is used to identify objects in an image at the pixel level, drawing a polygon around each object in the image.

public class ImageInstanceSegmentation : Azure.ResourceManager.MachineLearning.Models.AutoMLVertical, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.ImageInstanceSegmentation>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.ImageInstanceSegmentation>

type ImageInstanceSegmentation = class
    inherit AutoMLVertical
    interface IJsonModel<ImageInstanceSegmentation>
    interface IPersistableModel<ImageInstanceSegmentation>

Public Class ImageInstanceSegmentation
Inherits AutoMLVertical
Implements IJsonModel(Of ImageInstanceSegmentation), IPersistableModel(Of ImageInstanceSegmentation)

Inheritance

Object

AutoMLVertical

ImageInstanceSegmentation

Implements

IJsonModel<ImageInstanceSegmentation> IPersistableModel<ImageInstanceSegmentation> IPersistableModel<T>

Constructors

ImageInstanceSegmentation(MachineLearningTableJobInput, ImageLimitSettings)

Initializes a new instance of ImageInstanceSegmentation.

Properties

LimitSettings	[Required] Limit settings for the AutoML job.
LogVerbosity	Log verbosity for the job. (Inherited from AutoMLVertical)
ModelSettings	Settings used for training the model.
PrimaryMetric	Primary metric to optimize for this task.
SearchSpace	Search space for sampling different combinations of models and their hyperparameters.
SweepSettings	Model sweeping and hyperparameter sweeping related settings.
TargetColumnName	Target column name: This is prediction values column. Also known as label column name in context of classification tasks. (Inherited from AutoMLVertical)
TrainingData	[Required] Training data input. (Inherited from AutoMLVertical)
ValidationData	Validation data inputs.
ValidationDataSize	The fraction of training dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided.

Explicit Interface Implementations

IJsonModel<AutoMLVertical>.Create(Utf8JsonReader, ModelReaderWriterOptions)	Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model. (Inherited from AutoMLVertical)
IJsonModel<AutoMLVertical>.Write(Utf8JsonWriter, ModelReaderWriterOptions)	Writes the model to the provided Utf8JsonWriter. (Inherited from AutoMLVertical)
IJsonModel<ImageInstanceSegmentation>.Create(Utf8JsonReader, ModelReaderWriterOptions)	Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.
IJsonModel<ImageInstanceSegmentation>.Write(Utf8JsonWriter, ModelReaderWriterOptions)	Writes the model to the provided Utf8JsonWriter.
IPersistableModel<AutoMLVertical>.Create(BinaryData, ModelReaderWriterOptions)	Converts the provided BinaryData into a model. (Inherited from AutoMLVertical)
IPersistableModel<AutoMLVertical>.GetFormatFromOptions(ModelReaderWriterOptions)	Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service. (Inherited from AutoMLVertical)
IPersistableModel<AutoMLVertical>.Write(ModelReaderWriterOptions)	Writes the model into a BinaryData. (Inherited from AutoMLVertical)
IPersistableModel<ImageInstanceSegmentation>.Create(BinaryData, ModelReaderWriterOptions)	Converts the provided BinaryData into a model.
IPersistableModel<ImageInstanceSegmentation>.GetFormatFromOptions(ModelReaderWriterOptions)	Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.
IPersistableModel<ImageInstanceSegmentation>.Write(ModelReaderWriterOptions)	Writes the model into a BinaryData.