Advancements in AI have made automatic data labeling a useful tool in accelerating the annotation process. Without a human in the loop, however, auto-labeling can propagate critical errors, potentially leading to severe real-world consequences in the autonomous vehicle industry, where data quality directly impacts safety and performance.
By striking the right balance between automation and human expertise, autonomous vehicle (AV) and advanced driver assistance systems (ADAS) model owners can scale their labeling requirements while maintaining the high standards required for accurate and reliable machine learning (ML) model training. Download now to read more.
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
