Enum AutoMlImageObjectDetectionInputs.ModelType (3.19.0) 

public enum AutoMlImageObjectDetectionInputs.ModelType extends Enum<AutoMlImageObjectDetectionInputs.ModelType> implements ProtocolMessageEnum

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType

Implements

ProtocolMessageEnum

Static Fields

NameDescription
CLOUD_HIGH_ACCURACY_1

A model best tailored to be used within Google Cloud, and which cannot be exported. Expected to have a higher latency, but should also have a higher prediction quality than other cloud models.

CLOUD_HIGH_ACCURACY_1 = 1;

CLOUD_HIGH_ACCURACY_1_VALUE

A model best tailored to be used within Google Cloud, and which cannot be exported. Expected to have a higher latency, but should also have a higher prediction quality than other cloud models.

CLOUD_HIGH_ACCURACY_1 = 1;

CLOUD_LOW_LATENCY_1

A model best tailored to be used within Google Cloud, and which cannot be exported. Expected to have a low latency, but may have lower prediction quality than other cloud models.

CLOUD_LOW_LATENCY_1 = 2;

CLOUD_LOW_LATENCY_1_VALUE

A model best tailored to be used within Google Cloud, and which cannot be exported. Expected to have a low latency, but may have lower prediction quality than other cloud models.

CLOUD_LOW_LATENCY_1 = 2;

MOBILE_TF_HIGH_ACCURACY_1

A model that, in addition to being available within Google Cloud, can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other mobile models.

MOBILE_TF_HIGH_ACCURACY_1 = 5;

MOBILE_TF_HIGH_ACCURACY_1_VALUE

A model that, in addition to being available within Google Cloud, can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other mobile models.

MOBILE_TF_HIGH_ACCURACY_1 = 5;

MOBILE_TF_LOW_LATENCY_1

A model that, in addition to being available within Google Cloud can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have low latency, but may have lower prediction quality than other mobile models.

MOBILE_TF_LOW_LATENCY_1 = 3;

MOBILE_TF_LOW_LATENCY_1_VALUE

A model that, in addition to being available within Google Cloud can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have low latency, but may have lower prediction quality than other mobile models.

MOBILE_TF_LOW_LATENCY_1 = 3;

MOBILE_TF_VERSATILE_1

A model that, in addition to being available within Google Cloud can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards.

MOBILE_TF_VERSATILE_1 = 4;

MOBILE_TF_VERSATILE_1_VALUE

A model that, in addition to being available within Google Cloud can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards.

MOBILE_TF_VERSATILE_1 = 4;

MODEL_TYPE_UNSPECIFIED

Should not be set.

MODEL_TYPE_UNSPECIFIED = 0;

MODEL_TYPE_UNSPECIFIED_VALUE

Should not be set.

MODEL_TYPE_UNSPECIFIED = 0;

UNRECOGNIZED

Static Methods

NameDescription
forNumber(int value)
getDescriptor()
internalGetValueMap()
valueOf(Descriptors.EnumValueDescriptor desc)
valueOf(int value)

Deprecated. Use #forNumber(int) instead.

valueOf(String name)
values()

Methods

NameDescription
getDescriptorForType()
getNumber()
getValueDescriptor()