Trigger and/or monitor Automated Data Labeling Job

Question

I am following the documentation [https://docs.aws.amazon.com/sagemaker/latest/dg/sms-automated-labeling.html#sms-auto-labeling-ec2]() and I have created a Ground Truth labeling job for object detection. I also enabled automated data labeling when creating the job. I have roughly 5000 images in my dataset. I have manually labelled ( by creating myself as a worker ) 129 of these images. How many do I need to label before the automated labeling job triggers? How do I know if a job was triggered/succeeded/failed etc?

Thanks

AWS-User-5132531 · Answer

Hi,

As per [this link](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-automated-labeling.html) to the documentation: "The minimum number of objects allowed for automated data labeling is 1,250, but we strongly suggest providing a minimum of 5,000 objects" when using active learning in Ground Truth to automate labeling.

You should also be able to see the status of your labeling job in the **Labeling Jobs** section of the console if that is how you created the job in the first place.

Trigger and/or monitor Automated Data Labeling Job

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