ImageInstanceSegmentation interface

Package:

@azure/arm-machinelearning

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.

Extends

ImageObjectDetectionBase,AutoMLVertical

Properties

primaryMetric	Primary metric to optimize for this task.
taskType	Polymorphic discriminator, which specifies the different types this object can be

Inherited Properties

limitSettings	[Required] Limit settings for the AutoML job.
logVerbosity	Log verbosity for the job.
modelSettings	Settings used for training the model.
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.
trainingData	[Required] Training data input.
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.

Property Details

primaryMetric

Primary metric to optimize for this task.

primaryMetric?: string

Property Value

string

taskType

Polymorphic discriminator, which specifies the different types this object can be

taskType: "ImageInstanceSegmentation"

Property Value

"ImageInstanceSegmentation"

Inherited Property Details

limitSettings

[Required] Limit settings for the AutoML job.

limitSettings: ImageLimitSettings

Property Value

ImageLimitSettings

Inherited From ImageObjectDetectionBase.limitSettings

logVerbosity

Log verbosity for the job.

logVerbosity?: string

Property Value

string

Inherited From AutoMLVertical.logVerbosity

modelSettings

Settings used for training the model.

modelSettings?: ImageModelSettingsObjectDetection

Property Value

ImageModelSettingsObjectDetection

Inherited From ImageObjectDetectionBase.modelSettings

searchSpace

Search space for sampling different combinations of models and their hyperparameters.

searchSpace?: ImageModelDistributionSettingsObjectDetection[]

Property Value

ImageModelDistributionSettingsObjectDetection[]

Inherited From ImageObjectDetectionBase.searchSpace

sweepSettings

Model sweeping and hyperparameter sweeping related settings.

sweepSettings?: ImageSweepSettings

Property Value

ImageSweepSettings

Inherited From ImageObjectDetectionBase.sweepSettings

targetColumnName

Target column name: This is prediction values column. Also known as label column name in context of classification tasks.

targetColumnName?: string

Property Value

string

Inherited From AutoMLVertical.targetColumnName

trainingData

[Required] Training data input.

trainingData: MLTableJobInput

Property Value

MLTableJobInput

Inherited From AutoMLVertical.trainingData

validationData

Validation data inputs.

validationData?: MLTableJobInput

Property Value

MLTableJobInput

Inherited From ImageObjectDetectionBase.validationData

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.

validationDataSize?: number

Property Value

number

Inherited From ImageObjectDetectionBase.validationDataSize