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Amazon SageMaker Ground Truth Keeps Simplifying Labeling WorkflowsCategory: Amazon, Data
Launched at AWS re:Invent 2018, Amazon SageMaker Ground Truth is a capability of Amazon SageMaker that makes it easy for customers to efficiently and accurately label the datasets required for training machine learning systems.
A quick recap on Amazon SageMaker Ground TruthAmazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly.
Job chainingCustomers often want to run a subsequent labeling job using the output of a previous labeling job.
Using Amazon SageMaker Ground Truth, we engaged iMerit, a professional labeling company that has been pre-screened by Amazon, to assist with the custom annotation project.
Please try Amazon SageMaker Ground Truth, let us know what you think, and help us build the next iteration of this cool service!
A quick recap on Amazon SageMaker Ground TruthAmazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning quickly.
Job chainingCustomers often want to run a subsequent labeling job using the output of a previous labeling job.
Using Amazon SageMaker Ground Truth, we engaged iMerit, a professional labeling company that has been pre-screened by Amazon, to assist with the custom annotation project.
Please try Amazon SageMaker Ground Truth, let us know what you think, and help us build the next iteration of this cool service!
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