DescribeLabelingJobResponse
import type { DescribeLabelingJobResponse } from "https://aws-api.deno.dev/v0.4/services/sagemaker.ts?docs=full";
§Properties
Configuration information required for human workers to complete a labeling task.
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.
The attribute used as the label in the output manifest file.
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_"
}
]
}
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.
Configuration information for automated data labeling.
The location of the output produced by the labeling job.
The processing status of the labeling job.
The location of the job's output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.
The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.
A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.