Given the sheer amount of quality data needed to launch safe and reliable AV models, data labeling can quickly become a barrier to scale. Automation alone is insufficient to tackle complex data, internal teams lack the time, and crowd-sourced and other anonymous workforces lack the expertise. The solution lies in selecting the right partner who strategically joins people, process, and technology to deliver quality data to meet complex AV application safety goals.
Read our Guide to Optimizing AV Data Pipelines and Workforces and discover how to build high-quality data sets to power AV models, reduce internal burdens, lower costs, and scale operations.
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