When it comes to data-driven projects, manual annotation is often seen as a necessary evil. Teams dive into long, repetitive tasks to tag data, mark errors, or gather feedback, and it’s easy to overlook the hidden costs.
On the surface, manual annotation may seem manageable, but the true burden—time, energy, and accuracy—often becomes clear only after the work begins.
The good news is that there’s a solution to this problem: the right annotation tool. Relying on manual processes is costly in ways you might not initially consider, but by switching to an automated or semi-automated tool, teams can save time, improve precision, and reduce operational expenses.
Let’s take a closer look at the unseen costs of manual annotation and why an annotation tool is critical for long-term success.
Continue reading “The Hidden Workforce: Uncovering the Cost of Manual Annotation!”