Trigger and/or monitor Automated Data Labeling Job

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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

asked 2 years ago293 views
1 Answer
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Hi,

As per this link 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.

AWS
answered 2 years ago

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