With the recent advancements in LLMs, discussions about automating the annotation process have become increasingly common.
It's easy to fall into the trap of assuming that ML models can simply replace the annotation and labeling work traditionally done by humans. Our Machine Learning (ML) team at Sama considers—and receives—questions about shifting to automated annotation all the time. This paper explains the context, quality, and desired outcomes you should consider for your business when the topic arises.
40% of FAANG companies trust Sama to deliver industry-leading data that powers AI
Sama delivers not only accurate video annotation, but insights and recommendations via our vertically integrated platform combined with human-in-the-loop experts, all while embracing an ethical AI approach. This is why companies come to us when other video annotation solutions fail.
No matter how complex your models, we consistently deliver a 99% client acceptance rate as you scale, even with high ambiguity images and edge cases.
Sama has over 15 years of experience and our annotators have an average tenure of 2+ years. Vertically segmented teams provide expertise into industry nuances.
As the first AI certified B Corp, Sama has provided economic opportunities for over 65,000 employees from underserved communities.
ISO certified delivery centers, a biometric secured platform and our in-house workforce help protect your data from unauthorized access and data corruption from ingestion to delivery.
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
