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pub struct DescribeLabelingJobResponse {
Show 18 fields pub creation_time: f64, pub failure_reason: Option<String>, pub human_task_config: HumanTaskConfig, pub input_config: LabelingJobInputConfig, pub job_reference_code: String, pub label_attribute_name: Option<String>, pub label_category_config_s3_uri: Option<String>, pub label_counters: LabelCounters, pub labeling_job_algorithms_config: Option<LabelingJobAlgorithmsConfig>, pub labeling_job_arn: String, pub labeling_job_name: String, pub labeling_job_output: Option<LabelingJobOutput>, pub labeling_job_status: String, pub last_modified_time: f64, pub output_config: LabelingJobOutputConfig, pub role_arn: String, pub stopping_conditions: Option<LabelingJobStoppingConditions>, pub tags: Option<Vec<Tag>>,
}

Fields

creation_time: f64

The date and time that the labeling job was created.

failure_reason: Option<String>

If the job failed, the reason that it failed.

human_task_config: HumanTaskConfig

Configuration information required for human workers to complete a labeling task.

input_config: LabelingJobInputConfig

Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.

job_reference_code: String

A unique identifier for work done as part of a labeling job.

label_attribute_name: Option<String>

The attribute used as the label in the output manifest file.

label_category_config_s3_uri: Option<String>

The S3 location of the JSON file that defines the categories used to label data objects. Please note the following label-category limits:

  • Semantic segmentation labeling jobs using automated labeling: 20 labels

  • Box bounding labeling jobs (all): 10 labels

The file is a JSON structure in the following format:

{

"document-version": "2018-11-28"

"labels": [

{

"label": "label 1"

},

{

"label": "label 2"

},

...

{

"label": "label n"

}

]

}

label_counters: LabelCounters

Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn't be labeled, and the total number of objects labeled.

labeling_job_algorithms_config: Option<LabelingJobAlgorithmsConfig>

Configuration information for automated data labeling.

labeling_job_arn: String

The Amazon Resource Name (ARN) of the labeling job.

labeling_job_name: String

The name assigned to the labeling job when it was created.

labeling_job_output: Option<LabelingJobOutput>

The location of the output produced by the labeling job.

labeling_job_status: String

The processing status of the labeling job.

last_modified_time: f64

The date and time that the labeling job was last updated.

output_config: LabelingJobOutputConfig

The location of the job's output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.

role_arn: String

The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling.

stopping_conditions: Option<LabelingJobStoppingConditions>

A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.

tags: Option<Vec<Tag>>

An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.

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