Data Labelings using Amazon SageMaker GroundTruth (Hebrew)

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awsdevelopers
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Successful machine learning models are built on the shoulders of large volumes of high-quality training data. But, the process to create the training data necessary to build these models is often expensive, complicated, and time-consuming.
The majority of models created today require a human to manually label data in a way that allows the model to learn how to make correct decisions.
SageMaker Ground Truth uses a machine learning model to automatically label raw data to produce high-quality training datasets quickly at a fraction of the cost of manual labeling.



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