In this ebook, Sama provides a practical guide to getting optimal quality ground truth labels for your autonomous driving project!
The challenges of data annotation are far-reaching for companies in retail, media, consumer goods, transportation and e-commerce, and many others. To overcome the challenges, these companies need to train their AI algorithms to
In-house data annotation can be expensive but can be helpful in early stages of ML production. Outsourcing data annotation is cheaper but security can be compromised.
A recent academic paper outlines how Sama uses Experiment-Driven Development to measure how improvements made to our platform increase annotation efficiency.
ML Assisted Annotation can help you generate high-quality pre-labeled and human-assisted annotations, for predictably higher quality data in half the time.
