ImageInstanceSegmentation Class

Definition

Namespace:

Azure.ResourceManager.MachineLearning.Models

Assembly:

Azure.ResourceManager.MachineLearning.dll

Package:

Azure.ResourceManager.MachineLearning v1.1.1

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

type ImageInstanceSegmentation = class
    inherit AutoMLVertical

Public Class ImageInstanceSegmentation
Inherits AutoMLVertical

Inheritance

Object

AutoMLVertical

ImageInstanceSegmentation

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.