Class DataLabelingJob (3.56.0)

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

Protobuf type google.cloud.aiplatform.v1beta1.DataLabelingJob

Labels to assign to annotations generated by this DataLabelingJob.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> annotation_labels = 12;

The labels with user-defined metadata to organize your DataLabelingJobs.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob:

• "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.

map<string, string> labels = 11;

Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.

.google.cloud.aiplatform.v1beta1.ActiveLearningConfig active_learning_config = 21;

Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.

.google.cloud.aiplatform.v1beta1.ActiveLearningConfig active_learning_config = 21;

Use #getAnnotationLabelsMap() instead.

Labels to assign to annotations generated by this DataLabelingJob.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> annotation_labels = 12;

Labels to assign to annotations generated by this DataLabelingJob.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> annotation_labels = 12;

Labels to assign to annotations generated by this DataLabelingJob.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> annotation_labels = 12;

Labels to assign to annotations generated by this DataLabelingJob.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.

map<string, string> annotation_labels = 12;

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.

.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.

.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}

repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}

repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}

repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}

repeated string datasets = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Required. The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Required. The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob.

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key.

Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;

Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key.

Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;

Output only. DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Required. Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.

string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];

Required. Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud-aiplatform bucket in the /schema/datalabelingjob/inputs/ folder.

string inputs_schema_uri = 6 [(.google.api.field_behavior) = REQUIRED];

Required. The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.

string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];

Required. The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets.

string instruction_uri = 5 [(.google.api.field_behavior) = REQUIRED];

Required. Number of labelers to work on each DataItem.

int32 labeler_count = 4 [(.google.api.field_behavior) = REQUIRED];

Output only. Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.

int32 labeling_progress = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Use #getLabelsMap() instead.

The labels with user-defined metadata to organize your DataLabelingJobs.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob:

• "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.

map<string, string> labels = 11;

The labels with user-defined metadata to organize your DataLabelingJobs.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob:

• "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.

map<string, string> labels = 11;

The labels with user-defined metadata to organize your DataLabelingJobs.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob:

• "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.

map<string, string> labels = 11;

The labels with user-defined metadata to organize your DataLabelingJobs.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob:

• "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title.

map<string, string> labels = 11;

Output only. Resource name of the DataLabelingJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. Resource name of the DataLabelingJob.

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

The SpecialistPools' resource names associated with this job.

repeated string specialist_pools = 16;

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. The detailed state of the job.

.google.cloud.aiplatform.v1beta1.JobState state = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.

.google.cloud.aiplatform.v1beta1.ActiveLearningConfig active_learning_config = 21;

Output only. Timestamp when this DataLabelingJob was created.

.google.protobuf.Timestamp create_time = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.

.google.type.Money current_spend = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key.

Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;

Output only. DataLabelingJob errors. It is only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

.google.rpc.Status error = 22 [(.google.api.field_behavior) = OUTPUT_ONLY];

Required. Input config parameters for the DataLabelingJob.

.google.protobuf.Value inputs = 7 [(.google.api.field_behavior) = REQUIRED];

Output only. Timestamp when this DataLabelingJob was updated most recently.

.google.protobuf.Timestamp update_time = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];