Creating a Labeling Job

Create a labeling job based on a dataset.

dataset.create_label_task(self, task_name=None, task_type=None, **kwargs)

Sample Code

Example 1: Create an object detection labeling job based on an image dataset.

from modelarts.session import Session
from modelarts.dataset import Dataset

session = Session()
dataset = Dataset(session, dataset_id="VukxA2FlaTUm7tkDtq0") # Initialize the dataset.
create_task_resp = dataset.create_label_task(task_name="obj_detection_task", task_type=1, description="label task")

Parameters

**Table 1** Request parameters
Parameter	Mandatory	Type	Description
task_name	Yes	String	Name of a labeling job
task_type	Yes	Integer	Type of a labeling job. Options: 0: image classification 1: object detection 3: image segmentation 100: text classification 101: named entity recognition 102: text triplet 200: sound classification 201: speech content 202: speech paragraph labeling 400: table dataset 600: video labeling 900: custom format
description	No	String	Description of a labeling job

Parent topic:Managing Labeling Jobs

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Next topic: Obtaining the Labeling Job List of a Dataset

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