Hundreds of petabytes of data are being created by automaker vehicle test fleets during ADAS feature and autonomous vehicle software development, all of which must be tagged, labeled, classified, and validated for accuracy in a cost-efficient and scalable manner to create high-quality training datasets to be used during model and algorithm development stages. Additionally, personally identifiable information (PII) must be anonymized to satisfy compliance requirements defined by European Union’s General Data Protection Regulation (GDPR) or California Consumer Privacy Act (CCPA). These solutions help automakers cost-effectively manage data labeling and anonymization in the AWS cloud through improved automation, tools, and workflows.

AWS Services

Purpose-built cloud products

Amazon SageMaker Ground Truth
Create high-quality datasets for training machine learning models
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Partner Solutions

Software, SaaS, or managed services from AWS Partners

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