REST Resource: projects.locations.dataLabelingJobs

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Resource: DataLabelingJob

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

JSON representation
{
  "name": string,
  "displayName": string,
  "datasets": [
    string
  ],
  "annotationLabels": {
    string: string,
    ...
  },
  "labelerCount": integer,
  "instructionUri": string,
  "inputsSchemaUri": string,
  "inputs": value,
  "state": enum (JobState),
  "labelingProgress": integer,
  "currentSpend": {
    object (Money)
  },
  "createTime": string,
  "updateTime": string,
  "error": {
    object (Status)
  },
  "labels": {
    string: string,
    ...
  },
  "specialistPools": [
    string
  ],
  "encryptionSpec": {
    object (EncryptionSpec)
  },
  "activeLearningConfig": {
    object (ActiveLearningConfig)
  }
}
Fields
name

string

Output only. Resource name of the DataLabelingJob.

displayName

string

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.

datasets[]

string

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

annotationLabels

map (key: string, value: string)

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.

labelerCount

integer

Required. Number of labelers to work on each DataItem.

instructionUri

string

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.

inputsSchemaUri

string

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.