Vertex AI V1 API - Module Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlImageObjectDetectionInputs::ModelType (v0.21.0)

Reference documentation and code samples for the Vertex AI V1 API module Google::Cloud::AIPlatform::V1::Schema::TrainingJob::Definition::AutoMlImageObjectDetectionInputs::ModelType.

Constants

MODEL_TYPE_UNSPECIFIED

value: 0
Should not be set.

CLOUD_HIGH_ACCURACY_1

value: 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_LOW_LATENCY_1

value: 2
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.

MOBILE_TF_LOW_LATENCY_1

value: 3
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_VERSATILE_1

value: 4
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_HIGH_ACCURACY_1

value: 5
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.